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You searched for subject:(agglomerative hierarchical clustering). Showing records 1 – 17 of 17 total matches.

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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

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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 August 23, 2019. https://era.library.ualberta.ca/files/8p58pd70w.

MLA Handbook (7th Edition):

Anandan, Ajay. “Efficient Algorithms for Hierarchical Agglomerative Clustering.” 2013. Web. 23 Aug 2019.

Vancouver:

Anandan A. Efficient Algorithms for Hierarchical Agglomerative Clustering. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Aug 23]. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Soltani S. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Aug 23]. 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


Rice University

3. O'Driscoll, Patrick. Self-Organizing Maps for Segmentation of fMRI: Understanding the Genesis of Willed Movement Through A Multiple Subject Study.

Degree: PhD, Engineering, 2018, Rice University

 The neural process of executing willed movements, though fundamental to human activity, is not well understood. Analyzing the neural activity of human subjects performing willed… (more)

Subjects/Keywords: Clustering; Hierarchical Agglomerative Clustering; HAC; Self-Organizing Map; SOM; fMRI; Machine Learning; Clustering; willed Movement

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APA (6th Edition):

O'Driscoll, P. (2018). Self-Organizing Maps for Segmentation of fMRI: Understanding the Genesis of Willed Movement Through A Multiple Subject Study. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105789

Chicago Manual of Style (16th Edition):

O'Driscoll, Patrick. “Self-Organizing Maps for Segmentation of fMRI: Understanding the Genesis of Willed Movement Through A Multiple Subject Study.” 2018. Doctoral Dissertation, Rice University. Accessed August 23, 2019. http://hdl.handle.net/1911/105789.

MLA Handbook (7th Edition):

O'Driscoll, Patrick. “Self-Organizing Maps for Segmentation of fMRI: Understanding the Genesis of Willed Movement Through A Multiple Subject Study.” 2018. Web. 23 Aug 2019.

Vancouver:

O'Driscoll P. Self-Organizing Maps for Segmentation of fMRI: Understanding the Genesis of Willed Movement Through A Multiple Subject Study. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1911/105789.

Council of Science Editors:

O'Driscoll P. Self-Organizing Maps for Segmentation of fMRI: Understanding the Genesis of Willed Movement Through A Multiple Subject Study. [Doctoral Dissertation]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105789


NSYSU

4. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Wu C. Personalized Document Clustering: Technique Development and Empirical Evaluation. [Internet] [Thesis]. NSYSU; 2003. [cited 2019 Aug 23]. 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

5. 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)

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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 August 23, 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. 23 Aug 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 Aug 23]. 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

6. 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)

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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 August 23, 2019. http://hdl.handle.net/2097/4194.

MLA Handbook (7th Edition):

Bahirwani, Vishal. “Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana.” 2010. Web. 23 Aug 2019.

Vancouver:

Bahirwani V. Exploring transcription patterns and regulatory motifs in Arabidopsis thaliana. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2019 Aug 23]. 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

7. 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

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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 August 23, 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. 23 Aug 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 Aug 23]. 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

8. 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)

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Lin H. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Aug 23]. 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

9. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Huang T. An Ontology-Based Personalized Document Clustering Approach. [Internet] [Thesis]. NSYSU; 2004. [cited 2019 Aug 23]. 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

10. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Wang S. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. [Internet] [Thesis]. NSYSU; 2005. [cited 2019 Aug 23]. 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


Indian Institute of Science

11. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Vijaya PA. Efficient Hierarchical Clustering Techniques For Pattern Classification. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Aug 23]. 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

12. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Vijaya PA. Efficient Hierarchical Clustering Techniques For Pattern Classification. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Aug 23]. 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


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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Pospíšil D. Shluková analýza signálu EKG . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Aug 23]. 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


NSYSU

14. 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

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Tsai T. Supporting Data Warehouse Design with Data Mining Approach. [Internet] [Thesis]. NSYSU; 2001. [cited 2019 Aug 23]. 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


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

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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 August 23, 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. 23 Aug 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 Aug 23]. 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.

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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 August 23, 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. 23 Aug 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 Aug 23]. 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

17. 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… 

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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 August 23, 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. 23 Aug 2019.

Vancouver:

Hinz J. Clustering the Web : Comparing Clustering Methods in Swedish. [Internet] [Thesis]. Linköping UniversityLinköping University; 2013. [cited 2019 Aug 23]. 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

.