Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Hierarchical Agglomerative Clustering Technique). Showing records 1 – 30 of 8385 total matches.

[1] [2] [3] [4] [5] … [280]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters


University of Alberta

1. Anandan, Ajay. Efficient Algorithms for Hierarchical Agglomerative Clustering.

Degree: MS, Department of Computing Science, 2013, University of Alberta

 This thesis proposes and evaluates methods to improve two algorithmic ap- proaches for Hierarchical Agglomerative Clustering. These new methods in- crease the scalability and speed… (more)

Subjects/Keywords: Hierarchical Agglomerative Clustering; Cover tree

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Anandan, A. (2013). Efficient Algorithms for Hierarchical Agglomerative Clustering. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/8p58pd70w

Chicago Manual of Style (16th Edition):

Anandan, Ajay. “Efficient Algorithms for Hierarchical Agglomerative Clustering.” 2013. Masters Thesis, University of Alberta. Accessed March 21, 2019. https://era.library.ualberta.ca/files/8p58pd70w.

MLA Handbook (7th Edition):

Anandan, Ajay. “Efficient Algorithms for Hierarchical Agglomerative Clustering.” 2013. Web. 21 Mar 2019.

Vancouver:

Anandan A. Efficient Algorithms for Hierarchical Agglomerative Clustering. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Mar 21]. Available from: https://era.library.ualberta.ca/files/8p58pd70w.

Council of Science Editors:

Anandan A. Efficient Algorithms for Hierarchical Agglomerative Clustering. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/8p58pd70w


University of Waterloo

2. Soltani, Soheil. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space.

Degree: 2019, University of Waterloo

Clustering is one of the most fundamental tasks in many machine learning and information retrieval applications. Roughly speaking, the goal is to partition data instances… (more)

Subjects/Keywords: Machine Learning; Clustering; Binary Data; Hamming Space; Hierarchical Agglomerative Clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Soltani, S. (2019). Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14341

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soltani, Soheil. “Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space.” 2019. Thesis, University of Waterloo. Accessed March 21, 2019. http://hdl.handle.net/10012/14341.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soltani, Soheil. “Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space.” 2019. Web. 21 Mar 2019.

Vancouver:

Soltani S. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10012/14341.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soltani S. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14341

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

3. Vijaya, P A. Efficient Hierarchical Clustering Techniques For Pattern Classification.

Degree: 2005, Indian Institute of Science

Subjects/Keywords: Hierarchical Clustering; Pattern Classification; Clustering Techniques (Computer Science); Clustering Algorithms; Cluster Analysis; Bottom-up Hybrid Hierarchical Clustering (BHHC) Techniques; Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique; Incremental Clustering; Hierarchlcal Clustering Algorithm; Protein Sequence Classification; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vijaya, P. A. (2005). Efficient Hierarchical Clustering Techniques For Pattern Classification. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1442

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vijaya, P A. “Efficient Hierarchical Clustering Techniques For Pattern Classification.” 2005. Thesis, Indian Institute of Science. Accessed March 21, 2019. http://hdl.handle.net/2005/1442.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vijaya, P A. “Efficient Hierarchical Clustering Techniques For Pattern Classification.” 2005. Web. 21 Mar 2019.

Vancouver:

Vijaya PA. Efficient Hierarchical Clustering Techniques For Pattern Classification. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2005/1442.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vijaya PA. Efficient Hierarchical Clustering Techniques For Pattern Classification. [Thesis]. Indian Institute of Science; 2005. Available from: http://hdl.handle.net/2005/1442

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

4. Vijaya, P A. Efficient Hierarchical Clustering Techniques For Pattern Classification.

Degree: 2005, Indian Institute of Science

Subjects/Keywords: Hierarchical Clustering; Pattern Classification; Clustering Techniques (Computer Science); Clustering Algorithms; Cluster Analysis; Bottom-up Hybrid Hierarchical Clustering (BHHC) Techniques; Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique; Incremental Clustering; Hierarchlcal Clustering Algorithm; Protein Sequence Classification; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vijaya, P. A. (2005). Efficient Hierarchical Clustering Techniques For Pattern Classification. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/1442 ; http://etd.ncsi.iisc.ernet.in/abstracts/1859/G19133-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vijaya, P A. “Efficient Hierarchical Clustering Techniques For Pattern Classification.” 2005. Thesis, Indian Institute of Science. Accessed March 21, 2019. http://etd.iisc.ernet.in/handle/2005/1442 ; http://etd.ncsi.iisc.ernet.in/abstracts/1859/G19133-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vijaya, P A. “Efficient Hierarchical Clustering Techniques For Pattern Classification.” 2005. Web. 21 Mar 2019.

Vancouver:

Vijaya PA. Efficient Hierarchical Clustering Techniques For Pattern Classification. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Mar 21]. Available from: http://etd.iisc.ernet.in/handle/2005/1442 ; http://etd.ncsi.iisc.ernet.in/abstracts/1859/G19133-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vijaya PA. Efficient Hierarchical Clustering Techniques For Pattern Classification. [Thesis]. Indian Institute of Science; 2005. Available from: http://etd.iisc.ernet.in/handle/2005/1442 ; http://etd.ncsi.iisc.ernet.in/abstracts/1859/G19133-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

5. Tsai, Tzu-Chao. Supporting Data Warehouse Design with Data Mining Approach.

Degree: Master, Information Management, 2001, NSYSU

 Traditional relational database model does not have enough capability to cope with a great deal of data in finite time. To address these requirements, data… (more)

Subjects/Keywords: Hierarchical Agglomerative Clustering Technique; Data Mining; Data Warehouse; Knowledge Discovery; Data Warehouse Design; Star Schema

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsai, T. (2001). Supporting Data Warehouse Design with Data Mining Approach. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-104235

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsai, Tzu-Chao. “Supporting Data Warehouse Design with Data Mining Approach.” 2001. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-104235.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsai, Tzu-Chao. “Supporting Data Warehouse Design with Data Mining Approach.” 2001. Web. 21 Mar 2019.

Vancouver:

Tsai T. Supporting Data Warehouse Design with Data Mining Approach. [Internet] [Thesis]. NSYSU; 2001. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-104235.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsai T. Supporting Data Warehouse Design with Data Mining Approach. [Thesis]. NSYSU; 2001. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-104235

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

6. Wu, Chia-Chen. Personalized Document Clustering: Technique Development and Empirical Evaluation.

Degree: Master, Information Management, 2003, NSYSU

 With the proliferation of an electronic commerce and knowledge economy environment, both organizations and individuals generate and consume a large amount of online information, typically… (more)

Subjects/Keywords: Supervised Document Clustering; Personalized Document Clustering; Document Clustering; Hierarchical Agglomerative Clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, C. (2003). Personalized Document Clustering: Technique Development and Empirical Evaluation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Chia-Chen. “Personalized Document Clustering: Technique Development and Empirical Evaluation.” 2003. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Chia-Chen. “Personalized Document Clustering: Technique Development and Empirical Evaluation.” 2003. Web. 21 Mar 2019.

Vancouver:

Wu C. Personalized Document Clustering: Technique Development and Empirical Evaluation. [Internet] [Thesis]. NSYSU; 2003. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu C. Personalized Document Clustering: Technique Development and Empirical Evaluation. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Hobro, Mark. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTHKTH

The process of data integration is an important part of the database field when it comes to database migrations and the merging of data.… (more)

Subjects/Keywords: Semantic integration; data integration; artificial neural networks; agglomerative hierarchical clustering; heterogeneous databases; relational data; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hobro, M. (2018). Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks. (Thesis). KTHKTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hobro, Mark. “Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks.” 2018. Thesis, KTHKTH. Accessed March 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hobro, Mark. “Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks.” 2018. Web. 21 Mar 2019.

Vancouver:

Hobro M. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks. [Internet] [Thesis]. KTHKTH; 2018. [cited 2019 Mar 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hobro M. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks. [Thesis]. KTHKTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kansas State University

8. Bahirwani, Vishal. Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana.

Degree: MS, Department of Computing and Information Sciences, 2010, Kansas State University

 Recent work has shown that bidirectional genes (genes located on opposite strands of DNA, whose transcription start sites are not more than 1000 basepairs apart)… (more)

Subjects/Keywords: Gene regulatory networks; Machine learning; Arabidopsis thaliana; Motif; Hierarchical agglomerative clustering; Bioinformatics; Bidirectional genes; Computer Science (0984)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bahirwani, V. (2010). Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/4194

Chicago Manual of Style (16th Edition):

Bahirwani, Vishal. “Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana.” 2010. Masters Thesis, Kansas State University. Accessed March 21, 2019. http://hdl.handle.net/2097/4194.

MLA Handbook (7th Edition):

Bahirwani, Vishal. “Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana.” 2010. Web. 21 Mar 2019.

Vancouver:

Bahirwani V. Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2097/4194.

Council of Science Editors:

Bahirwani V. Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/4194

9. Gupta, Parul. A framework for efficient index organization for search optimization in web search engines; -.

Degree: Computer Science, 2013, Maharshi Dayanand University

Abstract available newline

Bibliography p.151-160, Appendix p.161-164

Advisors/Committee Members: Sharma, A K.

Subjects/Keywords: Ontology; Query Evaluation Process; Hierarchical Agglomerative Methods; Clustering Methods; Partitioning Methods

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gupta, P. (2013). A framework for efficient index organization for search optimization in web search engines; -. (Thesis). Maharshi Dayanand University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/51326

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gupta, Parul. “A framework for efficient index organization for search optimization in web search engines; -.” 2013. Thesis, Maharshi Dayanand University. Accessed March 21, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/51326.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gupta, Parul. “A framework for efficient index organization for search optimization in web search engines; -.” 2013. Web. 21 Mar 2019.

Vancouver:

Gupta P. A framework for efficient index organization for search optimization in web search engines; -. [Internet] [Thesis]. Maharshi Dayanand University; 2013. [cited 2019 Mar 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51326.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gupta P. A framework for efficient index organization for search optimization in web search engines; -. [Thesis]. Maharshi Dayanand University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51326

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

10. Lin, Hao-hsiang. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus.

Degree: Master, Information Management, 2006, NSYSU

 According to the context theory of classification, the document-clustering behaviors of individuals not only involve the attributes (including contents) of documents but also depend on… (more)

Subjects/Keywords: Personalized document clustering; Document clustering; Preference-based document clustering; Text mining; Hierarchical agglomerative clustering (HAC)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lin, H. (2006). Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Hao-hsiang. “Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus.” 2006. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Hao-hsiang. “Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus.” 2006. Web. 21 Mar 2019.

Vancouver:

Lin H. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin H. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

11. Huang, Tse-hsiu. An Ontology-Based Personalized Document Clustering Approach.

Degree: Master, Information Management, 2004, NSYSU

 With the proliferation of electronic commerce and knowledge economy environments, both persons and organizations increasingly have generated and consumed large amounts of online information, typically… (more)

Subjects/Keywords: Document clustering; Hierarchical agglomerative clustering; Ontology learning; Ontology; Personalized document clustering; Ontology-based document clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, T. (2004). An Ontology-Based Personalized Document Clustering Approach. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Tse-hsiu. “An Ontology-Based Personalized Document Clustering Approach.” 2004. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Tse-hsiu. “An Ontology-Based Personalized Document Clustering Approach.” 2004. Web. 21 Mar 2019.

Vancouver:

Huang T. An Ontology-Based Personalized Document Clustering Approach. [Internet] [Thesis]. NSYSU; 2004. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang T. An Ontology-Based Personalized Document Clustering Approach. [Thesis]. NSYSU; 2004. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

12. Wang, Shin. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management.

Degree: Master, Information Management, 2005, NSYSU

 Effective knowledge management of proliferating volume of documents within a knowledge repository is vital to knowledge sharing, reuse, and assimilation. In order to facilitate accesses… (more)

Subjects/Keywords: Document clustering; Hierarchical agglomerative clustering (HAC); Knowledge map; Preference-based document clustering; Text mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, S. (2005). Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Shin. “Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management.” 2005. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Shin. “Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management.” 2005. Web. 21 Mar 2019.

Vancouver:

Wang S. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. [Internet] [Thesis]. NSYSU; 2005. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang S. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. [Thesis]. NSYSU; 2005. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

13. Pospíšil, David. Shluková analýza signálu EKG .

Degree: 2013, Brno University of Technology

 Tato diplomová práce se zabývá použitím některých metod shlukové analýzy na signál EKG s cílem třídění QRS komplexů podle jejich morfologií na normální a abnormální.… (more)

Subjects/Keywords: EKG; arytmie; shluková analýza; učení bez učitele; metriky; shlukovací algoritmy; dendrogram; hierarchické aglomerativní shlukování; K - Means; ECG; arrhythmias; cluster analysis; unsupervised learning; metrics; clustering algorithms; dendrogram; hierarchical agglomerative clustering; K – Means

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pospíšil, D. (2013). Shluková analýza signálu EKG . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/27070

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pospíšil, David. “Shluková analýza signálu EKG .” 2013. Thesis, Brno University of Technology. Accessed March 21, 2019. http://hdl.handle.net/11012/27070.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pospíšil, David. “Shluková analýza signálu EKG .” 2013. Web. 21 Mar 2019.

Vancouver:

Pospíšil D. Shluková analýza signálu EKG . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/11012/27070.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pospíšil D. Shluková analýza signálu EKG . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/27070

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

14. Shoaib, Maria. Multi-robot Task Allocation using Agglomerative Clustering.

Degree: MS, Computer Science (GCCIS), 2016, Rochester Institute of Technology

  The main objective of this thesis is to solve the problem of balancing tasks in the Multi-robot Task Allocation problem domain. When allocating a… (more)

Subjects/Keywords: A*; Agglomerative clustering; Auctions; Multiple robots; Task Allocation; Traveling salesman problem

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shoaib, M. (2016). Multi-robot Task Allocation using Agglomerative Clustering. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9270

Chicago Manual of Style (16th Edition):

Shoaib, Maria. “Multi-robot Task Allocation using Agglomerative Clustering.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed March 21, 2019. https://scholarworks.rit.edu/theses/9270.

MLA Handbook (7th Edition):

Shoaib, Maria. “Multi-robot Task Allocation using Agglomerative Clustering.” 2016. Web. 21 Mar 2019.

Vancouver:

Shoaib M. Multi-robot Task Allocation using Agglomerative Clustering. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2019 Mar 21]. Available from: https://scholarworks.rit.edu/theses/9270.

Council of Science Editors:

Shoaib M. Multi-robot Task Allocation using Agglomerative Clustering. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9270


University of Southern California

15. Mower, Emily K. Emotions in engineering: methods for the interpretation of ambiguous emotional content.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 Emotion has intrigued researchers for generations. This fascination has permeated the engineering community, motivating the development of affective computational models for the classification of affective… (more)

Subjects/Keywords: emotion; perception; emotion profiles; emotion classification; emotion representation; audio-visual emotion; audio-visual emotion perception; multimodal emotion expression; facial emotion expression; McGurk effect; hidden Markov model; agglomerative hierarchical clustering; expressive animation; multimodality; affective computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mower, E. K. (2010). Emotions in engineering: methods for the interpretation of ambiguous emotional content. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2313

Chicago Manual of Style (16th Edition):

Mower, Emily K. “Emotions in engineering: methods for the interpretation of ambiguous emotional content.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2313.

MLA Handbook (7th Edition):

Mower, Emily K. “Emotions in engineering: methods for the interpretation of ambiguous emotional content.” 2010. Web. 21 Mar 2019.

Vancouver:

Mower EK. Emotions in engineering: methods for the interpretation of ambiguous emotional content. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Mar 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2313.

Council of Science Editors:

Mower EK. Emotions in engineering: methods for the interpretation of ambiguous emotional content. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2313


University of Illinois – Urbana-Champaign

16. Fan, Zhewen. Statistical issues and developments in time series analysis and educational measurement.

Degree: PhD, 0329, 2011, University of Illinois – Urbana-Champaign

 Chapter 1 is concerned with confidence interval construction for the mean of a long-range dependent time series. It is well known that the moving block… (more)

Subjects/Keywords: Long Range Dependence; Subsampling; Modified Subsampling; Hierarchical Agglomerative Clustering; Minimum Distance partitioning; Latent Parameter Models; Computerized Adaptive Testing; Response times; Item Response Theory; Survival Analysis; Cox Proportional Model; Markov Chain Monte Carlo; Exposure Rate Control.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fan, Z. (2011). Statistical issues and developments in time series analysis and educational measurement. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18277

Chicago Manual of Style (16th Edition):

Fan, Zhewen. “Statistical issues and developments in time series analysis and educational measurement.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 21, 2019. http://hdl.handle.net/2142/18277.

MLA Handbook (7th Edition):

Fan, Zhewen. “Statistical issues and developments in time series analysis and educational measurement.” 2011. Web. 21 Mar 2019.

Vancouver:

Fan Z. Statistical issues and developments in time series analysis and educational measurement. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2142/18277.

Council of Science Editors:

Fan Z. Statistical issues and developments in time series analysis and educational measurement. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18277


University of Ontario Institute of Technology

17. Parvin, Nurjahan. Robust curved road boundary identification using hierarchical clustering.

Degree: 2013, University of Ontario Institute of Technology

 We develop a new method for automatic curved road boundary detection in images captured by traffic cameras. The proposed method combines data driven (edge segments)… (more)

Subjects/Keywords: Road boundary; Hierarchical clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Parvin, N. (2013). Robust curved road boundary identification using hierarchical clustering. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Parvin, Nurjahan. “Robust curved road boundary identification using hierarchical clustering.” 2013. Thesis, University of Ontario Institute of Technology. Accessed March 21, 2019. http://hdl.handle.net/10155/363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Parvin, Nurjahan. “Robust curved road boundary identification using hierarchical clustering.” 2013. Web. 21 Mar 2019.

Vancouver:

Parvin N. Robust curved road boundary identification using hierarchical clustering. [Internet] [Thesis]. University of Ontario Institute of Technology; 2013. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10155/363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Parvin N. Robust curved road boundary identification using hierarchical clustering. [Thesis]. University of Ontario Institute of Technology; 2013. Available from: http://hdl.handle.net/10155/363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ontario Institute of Technology

18. Hedrick, Adele M. Modeling mobility patterns.

Degree: 2017, University of Ontario Institute of Technology

 This work focuses on analysis and model generation for user mobility patterns given a sequence of observed WiFi signals. Built on the Android platform, the… (more)

Subjects/Keywords: Hierarchical; Clustering; Segmentation; Mobility; Pattern

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hedrick, A. M. (2017). Modeling mobility patterns. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/855

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hedrick, Adele M. “Modeling mobility patterns.” 2017. Thesis, University of Ontario Institute of Technology. Accessed March 21, 2019. http://hdl.handle.net/10155/855.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hedrick, Adele M. “Modeling mobility patterns.” 2017. Web. 21 Mar 2019.

Vancouver:

Hedrick AM. Modeling mobility patterns. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10155/855.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hedrick AM. Modeling mobility patterns. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/855

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Guelph

19. Givari, Dena. Clustering Microarray Data Via a Bayesian Infinite Mixture Model .

Degree: 2013, University of Guelph

Clustering microarray data is a helpful way of identifying genes which are biologically related. Unfortunately, when attempting to cluster microarray data, certain issues must be… (more)

Subjects/Keywords: Bayesian Clustering Microarray Hierarchical

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Givari, D. (2013). Clustering Microarray Data Via a Bayesian Infinite Mixture Model . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Givari, Dena. “Clustering Microarray Data Via a Bayesian Infinite Mixture Model .” 2013. Thesis, University of Guelph. Accessed March 21, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Givari, Dena. “Clustering Microarray Data Via a Bayesian Infinite Mixture Model .” 2013. Web. 21 Mar 2019.

Vancouver:

Givari D. Clustering Microarray Data Via a Bayesian Infinite Mixture Model . [Internet] [Thesis]. University of Guelph; 2013. [cited 2019 Mar 21]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Givari D. Clustering Microarray Data Via a Bayesian Infinite Mixture Model . [Thesis]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kansas State University

20. Kumar, Swapnil. Comparison of blocking and hierarchical ways to find cluster.

Degree: MS, Department of Computing and Information Sciences, 2017, Kansas State University

Clustering in data mining is a process of discovering groups in a set of data such that the similarity within the group is maximized and… (more)

Subjects/Keywords: Clustering; Hierarchical; Threshold blocking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kumar, S. (2017). Comparison of blocking and hierarchical ways to find cluster. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/35425

Chicago Manual of Style (16th Edition):

Kumar, Swapnil. “Comparison of blocking and hierarchical ways to find cluster.” 2017. Masters Thesis, Kansas State University. Accessed March 21, 2019. http://hdl.handle.net/2097/35425.

MLA Handbook (7th Edition):

Kumar, Swapnil. “Comparison of blocking and hierarchical ways to find cluster.” 2017. Web. 21 Mar 2019.

Vancouver:

Kumar S. Comparison of blocking and hierarchical ways to find cluster. [Internet] [Masters thesis]. Kansas State University; 2017. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2097/35425.

Council of Science Editors:

Kumar S. Comparison of blocking and hierarchical ways to find cluster. [Masters Thesis]. Kansas State University; 2017. Available from: http://hdl.handle.net/2097/35425

21. Avril, François. Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering.

Degree: Docteur es, Informatique, 2015, Paris Saclay

Nous nous intéressons dans cette thèse à l'organisation des systèmes distribués dynamiquesde grande taille : ensembles de machines capables de communiquer entre elles et pouvant… (more)

Subjects/Keywords: Clustering; Clustering hiérarchique; Marche aléatoire; Clustering; Hierarchical clustering; Random walk

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Avril, F. (2015). Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2015SACLV034

Chicago Manual of Style (16th Edition):

Avril, François. “Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering.” 2015. Doctoral Dissertation, Paris Saclay. Accessed March 21, 2019. http://www.theses.fr/2015SACLV034.

MLA Handbook (7th Edition):

Avril, François. “Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering.” 2015. Web. 21 Mar 2019.

Vancouver:

Avril F. Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering. [Internet] [Doctoral dissertation]. Paris Saclay; 2015. [cited 2019 Mar 21]. Available from: http://www.theses.fr/2015SACLV034.

Council of Science Editors:

Avril F. Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering. [Doctoral Dissertation]. Paris Saclay; 2015. Available from: http://www.theses.fr/2015SACLV034


Georgia Tech

22. Abdelaal, Mahmoud Adel. A methodology for determining critical decision points through analysis of wargame data.

Degree: PhD, Aerospace Engineering, 2016, Georgia Tech

 Utilizing the latest in technology, today’s military is engaged in complex conflicts and operations across the globe. These disparate operations can occur simultaneously and within… (more)

Subjects/Keywords: Machine learning; Hierarchical agglomerative clusering; Cluster validation index; Height significance index; Wargaming; Decision making

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abdelaal, M. A. (2016). A methodology for determining critical decision points through analysis of wargame data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58624

Chicago Manual of Style (16th Edition):

Abdelaal, Mahmoud Adel. “A methodology for determining critical decision points through analysis of wargame data.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 21, 2019. http://hdl.handle.net/1853/58624.

MLA Handbook (7th Edition):

Abdelaal, Mahmoud Adel. “A methodology for determining critical decision points through analysis of wargame data.” 2016. Web. 21 Mar 2019.

Vancouver:

Abdelaal MA. A methodology for determining critical decision points through analysis of wargame data. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1853/58624.

Council of Science Editors:

Abdelaal MA. A methodology for determining critical decision points through analysis of wargame data. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58624


Queensland University of Technology

23. Ghaemmaghami, Houman. Robust automatic speaker linking and attribution.

Degree: 2013, Queensland University of Technology

 This research makes a major contribution which enables efficient searching and indexing of large archives of spoken audio based on speaker identity. It introduces a… (more)

Subjects/Keywords: speaker attribution; speaker linking; speaker diarization; complete linkage clustering; cross likelihood ratio; joint factor analysis; agglomerative clustering; cross show diarization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghaemmaghami, H. (2013). Robust automatic speaker linking and attribution. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/60832/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghaemmaghami, Houman. “Robust automatic speaker linking and attribution.” 2013. Thesis, Queensland University of Technology. Accessed March 21, 2019. https://eprints.qut.edu.au/60832/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghaemmaghami, Houman. “Robust automatic speaker linking and attribution.” 2013. Web. 21 Mar 2019.

Vancouver:

Ghaemmaghami H. Robust automatic speaker linking and attribution. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2019 Mar 21]. Available from: https://eprints.qut.edu.au/60832/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghaemmaghami H. Robust automatic speaker linking and attribution. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/60832/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Hinz, Joel. Clustering the Web : Comparing Clustering Methods in Swedish.

Degree: Faculty of Arts and Sciences, 2013, Linköping UniversityLinköping University

Clustering  – automatically sorting  – web search results has been the focus of much attention but is by no means a solved problem, and… (more)

Subjects/Keywords: clustering; web; search results; snippets; k-means; agglomerative hierarchical clustering; bisecting k-means; swedish; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling); Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign)

…fact, the agglomerative hierarchical clustering algorithm is probably the most frequently… …reached. 3.2.3 Agglomerative hierarchical clustering The basic concept for the agglomerative… …was implemented as seen in Algorithm 2. Algorithm 2: Agglomerative hierarchical clustering… …At first glance, divisive hierarchical clustering sounds as simple as its agglomerative… …argued above, making a choice between agglomerative hierarchical clustering and bisecting k… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hinz, J. (2013). Clustering the Web : Comparing Clustering Methods in Swedish. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hinz, Joel. “Clustering the Web : Comparing Clustering Methods in Swedish.” 2013. Thesis, Linköping UniversityLinköping University. Accessed March 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hinz, Joel. “Clustering the Web : Comparing Clustering Methods in Swedish.” 2013. Web. 21 Mar 2019.

Vancouver:

Hinz J. Clustering the Web : Comparing Clustering Methods in Swedish. [Internet] [Thesis]. Linköping UniversityLinköping University; 2013. [cited 2019 Mar 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hinz J. Clustering the Web : Comparing Clustering Methods in Swedish. [Thesis]. Linköping UniversityLinköping University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tennessee – Knoxville

25. Zhang, Yang. Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System.

Degree: 2017, University of Tennessee – Knoxville

 Massive data from different sources are becoming available in transportation field, and spurring new research on utilizing these data to nurture new intelligent transportation information… (more)

Subjects/Keywords: Clustering; Density based clustering; hierarchical clustering; network clustering; Computational Engineering; Transportation Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, Y. (2017). Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/4719

Chicago Manual of Style (16th Edition):

Zhang, Yang. “Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System.” 2017. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 21, 2019. https://trace.tennessee.edu/utk_graddiss/4719.

MLA Handbook (7th Edition):

Zhang, Yang. “Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System.” 2017. Web. 21 Mar 2019.

Vancouver:

Zhang Y. Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2017. [cited 2019 Mar 21]. Available from: https://trace.tennessee.edu/utk_graddiss/4719.

Council of Science Editors:

Zhang Y. Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_graddiss/4719


University of Texas – Austin

26. -0368-0657. Statistical clustering of data.

Degree: Statistics, 2015, University of Texas – Austin

 Cluster analysis aims at segmenting objects into groups with similar members and, therefore helps to discover distribution of properties and correlations in large datasets. Data… (more)

Subjects/Keywords: Clustering; Hierarchical; K-means; Gaussian mixture model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-0368-0657. (2015). Statistical clustering of data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32491

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-0368-0657. “Statistical clustering of data.” 2015. Thesis, University of Texas – Austin. Accessed March 21, 2019. http://hdl.handle.net/2152/32491.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-0368-0657. “Statistical clustering of data.” 2015. Web. 21 Mar 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-0368-0657. Statistical clustering of data. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2152/32491.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-0368-0657. Statistical clustering of data. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32491

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

27. Olsen, David. The INCLude (InterNodal Complete Linkage) Hierarchical Clustering Method.

Degree: PhD, Computer Science, 2015, University of Minnesota

 The goal of this project was to develop a general, complete linkage hierarchical clustering method that 1) substantially improves upon the accuracy of the standard… (more)

Subjects/Keywords: automation; clustering; complete linkage; distance graphs; hierarchical

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Olsen, D. (2015). The INCLude (InterNodal Complete Linkage) Hierarchical Clustering Method. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/183343

Chicago Manual of Style (16th Edition):

Olsen, David. “The INCLude (InterNodal Complete Linkage) Hierarchical Clustering Method.” 2015. Doctoral Dissertation, University of Minnesota. Accessed March 21, 2019. http://hdl.handle.net/11299/183343.

MLA Handbook (7th Edition):

Olsen, David. “The INCLude (InterNodal Complete Linkage) Hierarchical Clustering Method.” 2015. Web. 21 Mar 2019.

Vancouver:

Olsen D. The INCLude (InterNodal Complete Linkage) Hierarchical Clustering Method. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/11299/183343.

Council of Science Editors:

Olsen D. The INCLude (InterNodal Complete Linkage) Hierarchical Clustering Method. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/183343


Delft University of Technology

28. Van Driel, M. E. Added Value Concepts for Douwe Egberts’ Cross Selling Category:.

Degree: 2010, Delft University of Technology

 Douwe Egberts Coffee Systems focuses on the core portfolio of coffee and coffee systems. This results in a category maintenance approach for the cross selling… (more)

Subjects/Keywords: Laddering; Hierarchical Value Map; Projective Technique; Platform

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van Driel, M. E. (2010). Added Value Concepts for Douwe Egberts’ Cross Selling Category:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2fe7dcb0-136c-4e81-9620-e315a6e7ad69

Chicago Manual of Style (16th Edition):

Van Driel, M E. “Added Value Concepts for Douwe Egberts’ Cross Selling Category:.” 2010. Masters Thesis, Delft University of Technology. Accessed March 21, 2019. http://resolver.tudelft.nl/uuid:2fe7dcb0-136c-4e81-9620-e315a6e7ad69.

MLA Handbook (7th Edition):

Van Driel, M E. “Added Value Concepts for Douwe Egberts’ Cross Selling Category:.” 2010. Web. 21 Mar 2019.

Vancouver:

Van Driel ME. Added Value Concepts for Douwe Egberts’ Cross Selling Category:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Mar 21]. Available from: http://resolver.tudelft.nl/uuid:2fe7dcb0-136c-4e81-9620-e315a6e7ad69.

Council of Science Editors:

Van Driel ME. Added Value Concepts for Douwe Egberts’ Cross Selling Category:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:2fe7dcb0-136c-4e81-9620-e315a6e7ad69


Université Catholique de Louvain

29. Collette, Augustin. Comparison of some community detection methods for social network analysis.

Degree: 2015, Université Catholique de Louvain

Social networks have been a major innovation in the business field for the last decade. This work focuses on the analysis of networks (a great… (more)

Subjects/Keywords: graph mining; social networks; kernel clustering; hierarchical clustering.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Collette, A. (2015). Comparison of some community detection methods for social network analysis. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:3104

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Collette, Augustin. “Comparison of some community detection methods for social network analysis.” 2015. Thesis, Université Catholique de Louvain. Accessed March 21, 2019. http://hdl.handle.net/2078.1/thesis:3104.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Collette, Augustin. “Comparison of some community detection methods for social network analysis.” 2015. Web. 21 Mar 2019.

Vancouver:

Collette A. Comparison of some community detection methods for social network analysis. [Internet] [Thesis]. Université Catholique de Louvain; 2015. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2078.1/thesis:3104.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Collette A. Comparison of some community detection methods for social network analysis. [Thesis]. Université Catholique de Louvain; 2015. Available from: http://hdl.handle.net/2078.1/thesis:3104

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Miami

30. Chawla, Rahul. Filtering Social Tags for Songs based on Lyrics using Clustering Methods.

Degree: MS, Computer Science (Arts and Sciences), 2011, University of Miami

 In the field of Music Data Mining, Mood and Topic information has been considered as a high level metadata. The extraction of mood and topic… (more)

Subjects/Keywords: social tags; lyrics classification; hierarchical clustering; Naive Bayes; CLOPE clustering; Last.fm

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chawla, R. (2011). Filtering Social Tags for Songs based on Lyrics using Clustering Methods. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/272

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chawla, Rahul. “Filtering Social Tags for Songs based on Lyrics using Clustering Methods.” 2011. Thesis, University of Miami. Accessed March 21, 2019. https://scholarlyrepository.miami.edu/oa_theses/272.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chawla, Rahul. “Filtering Social Tags for Songs based on Lyrics using Clustering Methods.” 2011. Web. 21 Mar 2019.

Vancouver:

Chawla R. Filtering Social Tags for Songs based on Lyrics using Clustering Methods. [Internet] [Thesis]. University of Miami; 2011. [cited 2019 Mar 21]. Available from: https://scholarlyrepository.miami.edu/oa_theses/272.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chawla R. Filtering Social Tags for Songs based on Lyrics using Clustering Methods. [Thesis]. University of Miami; 2011. Available from: https://scholarlyrepository.miami.edu/oa_theses/272

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2] [3] [4] [5] … [280]

.