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You searched for subject:(Clustering analysis). Showing records 1 – 30 of 556 total matches.

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Delft University of Technology

1. Kruijthoff, K. (author). Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning.

Degree: 2015, Delft University of Technology

 Within technological R&D companies, the decisions made within their Strategic Technology Planning (STP) process are of great importance due to their financial, legal and competitive… (more)

Subjects/Keywords: Conceptual Clustering; Visualization; Patent Analysis

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APA (6th Edition):

Kruijthoff, K. (. (2015). Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408

Chicago Manual of Style (16th Edition):

Kruijthoff, K (author). “Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning.” 2015. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408.

MLA Handbook (7th Edition):

Kruijthoff, K (author). “Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning.” 2015. Web. 29 Nov 2020.

Vancouver:

Kruijthoff K(. Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408.

Council of Science Editors:

Kruijthoff K(. Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408


Delft University of Technology

2. Evers, P. (author). Finding Errors in Massive Payment Log Data.

Degree: 2017, Delft University of Technology

Logs play an important role in debugging and maintaining large applications. When a system fails, developers investigate the log records to gain insight to identify… (more)

Subjects/Keywords: log; errors; analysis; anomaly; clustering

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APA (6th Edition):

Evers, P. (. (2017). Finding Errors in Massive Payment Log Data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:60fee9f1-7f5a-4915-8f09-2a3bcdbdd55c

Chicago Manual of Style (16th Edition):

Evers, P (author). “Finding Errors in Massive Payment Log Data.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:60fee9f1-7f5a-4915-8f09-2a3bcdbdd55c.

MLA Handbook (7th Edition):

Evers, P (author). “Finding Errors in Massive Payment Log Data.” 2017. Web. 29 Nov 2020.

Vancouver:

Evers P(. Finding Errors in Massive Payment Log Data. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:60fee9f1-7f5a-4915-8f09-2a3bcdbdd55c.

Council of Science Editors:

Evers P(. Finding Errors in Massive Payment Log Data. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:60fee9f1-7f5a-4915-8f09-2a3bcdbdd55c


University of Texas – Austin

3. Zhang, Lingjia. Community detection in network analysis: a survey.

Degree: MSin Statistics, Statistics, 2016, University of Texas – Austin

 The existence of community structures in networks is not unusual, including in the domains of sociology, biology, and business, etc. The characteristic of the community… (more)

Subjects/Keywords: Network analysis; Community detection; Clustering

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APA (6th Edition):

Zhang, L. (2016). Community detection in network analysis: a survey. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41634

Chicago Manual of Style (16th Edition):

Zhang, Lingjia. “Community detection in network analysis: a survey.” 2016. Masters Thesis, University of Texas – Austin. Accessed November 29, 2020. http://hdl.handle.net/2152/41634.

MLA Handbook (7th Edition):

Zhang, Lingjia. “Community detection in network analysis: a survey.” 2016. Web. 29 Nov 2020.

Vancouver:

Zhang L. Community detection in network analysis: a survey. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/2152/41634.

Council of Science Editors:

Zhang L. Community detection in network analysis: a survey. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41634


NSYSU

4. Rau, Min-Zong. Fuzzy Clustering with Principal Component Analysis.

Degree: Master, Electrical Engineering, 2010, NSYSU

 We propose a clustering algorithm which incorporates a similarity-based fuzzy clustering and principal component analysis. The proposed algorithm is capable of discovering clusters with hyper-spherical,… (more)

Subjects/Keywords: incremental clustering; principal component analysis; fuzzy clustering; oblique hyper-ellipsoidal cluster

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APA (6th Edition):

Rau, M. (2010). Fuzzy Clustering with Principal Component Analysis. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814110-125518

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):

Rau, Min-Zong. “Fuzzy Clustering with Principal Component Analysis.” 2010. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814110-125518.

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

MLA Handbook (7th Edition):

Rau, Min-Zong. “Fuzzy Clustering with Principal Component Analysis.” 2010. Web. 29 Nov 2020.

Vancouver:

Rau M. Fuzzy Clustering with Principal Component Analysis. [Internet] [Thesis]. NSYSU; 2010. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814110-125518.

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

Council of Science Editors:

Rau M. Fuzzy Clustering with Principal Component Analysis. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814110-125518

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


NSYSU

5. Tai, Chiech-an. An Automatic Data Clustering Algorithm based on Differential Evolution.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 As one of the traditional optimization problems, clustering still plays a vital role for the re-searches both theoretically and practically nowadays. Although many successful clustering(more)

Subjects/Keywords: automatic clustering; data clustering; high-dimensional dataset; histogram analysis; differential evolution

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APA (6th Edition):

Tai, C. (2013). An Automatic Data Clustering Algorithm based on Differential Evolution. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814

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):

Tai, Chiech-an. “An Automatic Data Clustering Algorithm based on Differential Evolution.” 2013. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814.

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

MLA Handbook (7th Edition):

Tai, Chiech-an. “An Automatic Data Clustering Algorithm based on Differential Evolution.” 2013. Web. 29 Nov 2020.

Vancouver:

Tai C. An Automatic Data Clustering Algorithm based on Differential Evolution. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814.

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

Council of Science Editors:

Tai C. An Automatic Data Clustering Algorithm based on Differential Evolution. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730113-152814

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


University of Leicester

6. Newby, Christopher James. Modelling severe asthma variation.

Degree: PhD, 2013, University of Leicester

 Asthma is a heterogeneity disease that is mostly managed successfully using bronchodilators and anti-inflammatory drugs. Around 10%-15% of asthmatics however have difficult or severe asthma… (more)

Subjects/Keywords: 616.238; Severe Asthma; Clustering; Factor Analysis; Bayesian

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APA (6th Edition):

Newby, C. J. (2013). Modelling severe asthma variation. (Doctoral Dissertation). University of Leicester. Retrieved from https://figshare.com/articles/Modelling_Severe_Asthma_Variation/10140104 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566290

Chicago Manual of Style (16th Edition):

Newby, Christopher James. “Modelling severe asthma variation.” 2013. Doctoral Dissertation, University of Leicester. Accessed November 29, 2020. https://figshare.com/articles/Modelling_Severe_Asthma_Variation/10140104 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566290.

MLA Handbook (7th Edition):

Newby, Christopher James. “Modelling severe asthma variation.” 2013. Web. 29 Nov 2020.

Vancouver:

Newby CJ. Modelling severe asthma variation. [Internet] [Doctoral dissertation]. University of Leicester; 2013. [cited 2020 Nov 29]. Available from: https://figshare.com/articles/Modelling_Severe_Asthma_Variation/10140104 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566290.

Council of Science Editors:

Newby CJ. Modelling severe asthma variation. [Doctoral Dissertation]. University of Leicester; 2013. Available from: https://figshare.com/articles/Modelling_Severe_Asthma_Variation/10140104 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566290


University of Iowa

7. Madlock-Brown, Charisse Renee. A framework for emerging topic detection in biomedicine.

Degree: PhD, Informatics, 2014, University of Iowa

  Emerging topic detection algorithms have the potential to assist researchers in maintaining awareness of current trends in biomedical fields – a feat not easily achieved… (more)

Subjects/Keywords: publicabstract; Burst Detection; Clustering Analysis; Bioinformatics

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APA (6th Edition):

Madlock-Brown, C. R. (2014). A framework for emerging topic detection in biomedicine. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/1483

Chicago Manual of Style (16th Edition):

Madlock-Brown, Charisse Renee. “A framework for emerging topic detection in biomedicine.” 2014. Doctoral Dissertation, University of Iowa. Accessed November 29, 2020. https://ir.uiowa.edu/etd/1483.

MLA Handbook (7th Edition):

Madlock-Brown, Charisse Renee. “A framework for emerging topic detection in biomedicine.” 2014. Web. 29 Nov 2020.

Vancouver:

Madlock-Brown CR. A framework for emerging topic detection in biomedicine. [Internet] [Doctoral dissertation]. University of Iowa; 2014. [cited 2020 Nov 29]. Available from: https://ir.uiowa.edu/etd/1483.

Council of Science Editors:

Madlock-Brown CR. A framework for emerging topic detection in biomedicine. [Doctoral Dissertation]. University of Iowa; 2014. Available from: https://ir.uiowa.edu/etd/1483


Rice University

8. Kosar, Robert. Skewers, the Carnegie Classification, and the Hybrid Bootstrap.

Degree: PhD, Engineering, 2017, Rice University

 Principal component analysis is an important statistical technique for dimension reduction and exploratory data analysis. However, it is not robust to outliers and may obfuscate… (more)

Subjects/Keywords: Clustering; Principal Component Analysis, University Rankings, Regularization

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APA (6th Edition):

Kosar, R. (2017). Skewers, the Carnegie Classification, and the Hybrid Bootstrap. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105553

Chicago Manual of Style (16th Edition):

Kosar, Robert. “Skewers, the Carnegie Classification, and the Hybrid Bootstrap.” 2017. Doctoral Dissertation, Rice University. Accessed November 29, 2020. http://hdl.handle.net/1911/105553.

MLA Handbook (7th Edition):

Kosar, Robert. “Skewers, the Carnegie Classification, and the Hybrid Bootstrap.” 2017. Web. 29 Nov 2020.

Vancouver:

Kosar R. Skewers, the Carnegie Classification, and the Hybrid Bootstrap. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1911/105553.

Council of Science Editors:

Kosar R. Skewers, the Carnegie Classification, and the Hybrid Bootstrap. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105553


Delft University of Technology

9. Nadeem, Azqa (author). Clustering Malware's Network Behavior using Simple Sequential Features.

Degree: 2018, Delft University of Technology

Developing malware variants is extremely cheap for attackers because of the availability of various obfuscation tools. These variants can be grouped in malware families, based… (more)

Subjects/Keywords: Malware families; Network Analysis; Sequence Clustering

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APA (6th Edition):

Nadeem, A. (. (2018). Clustering Malware's Network Behavior using Simple Sequential Features. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c8a221b9-9289-4978-a356-af64d8f2c5e0

Chicago Manual of Style (16th Edition):

Nadeem, Azqa (author). “Clustering Malware's Network Behavior using Simple Sequential Features.” 2018. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:c8a221b9-9289-4978-a356-af64d8f2c5e0.

MLA Handbook (7th Edition):

Nadeem, Azqa (author). “Clustering Malware's Network Behavior using Simple Sequential Features.” 2018. Web. 29 Nov 2020.

Vancouver:

Nadeem A(. Clustering Malware's Network Behavior using Simple Sequential Features. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:c8a221b9-9289-4978-a356-af64d8f2c5e0.

Council of Science Editors:

Nadeem A(. Clustering Malware's Network Behavior using Simple Sequential Features. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:c8a221b9-9289-4978-a356-af64d8f2c5e0


University of Manchester

10. Eraslan, Sukru. Eye Tracking Scanpath Trend Analysis on Web Pages.

Degree: 2016, University of Manchester

Web pages are typically comprised of different kinds of visual elements such as menus, headers and footers. To improve user experience, eye tracking has been… (more)

Subjects/Keywords: Eye Tracking; Scanpath; Trend Analysis; Clustering; Algorithm

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APA (6th Edition):

Eraslan, S. (2016). Eye Tracking Scanpath Trend Analysis on Web Pages. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305329

Chicago Manual of Style (16th Edition):

Eraslan, Sukru. “Eye Tracking Scanpath Trend Analysis on Web Pages.” 2016. Doctoral Dissertation, University of Manchester. Accessed November 29, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305329.

MLA Handbook (7th Edition):

Eraslan, Sukru. “Eye Tracking Scanpath Trend Analysis on Web Pages.” 2016. Web. 29 Nov 2020.

Vancouver:

Eraslan S. Eye Tracking Scanpath Trend Analysis on Web Pages. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2020 Nov 29]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305329.

Council of Science Editors:

Eraslan S. Eye Tracking Scanpath Trend Analysis on Web Pages. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305329


University of Southern California

11. Jun, Jongeun. DBSSC: density-based searchspace-limited subspace clustering.

Degree: PhD, Computer Science, 2013, University of Southern California

 We propose a mining framework that supports the identification of useful knowledge based on data clustering. With the recent advancement of microarray technologies, the expression… (more)

Subjects/Keywords: data mining; big data analysis; bioinformatics; subspace clustering; gene expression analysis; density-based clustering

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APA (6th Edition):

Jun, J. (2013). DBSSC: density-based searchspace-limited subspace clustering. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346502/rec/1783

Chicago Manual of Style (16th Edition):

Jun, Jongeun. “DBSSC: density-based searchspace-limited subspace clustering.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346502/rec/1783.

MLA Handbook (7th Edition):

Jun, Jongeun. “DBSSC: density-based searchspace-limited subspace clustering.” 2013. Web. 29 Nov 2020.

Vancouver:

Jun J. DBSSC: density-based searchspace-limited subspace clustering. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Nov 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346502/rec/1783.

Council of Science Editors:

Jun J. DBSSC: density-based searchspace-limited subspace clustering. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346502/rec/1783


Georgia Tech

12. Fairbanks, James Paul. Graph analysis combining numerical, statistical, and streaming techniques.

Degree: PhD, Computational Science and Engineering, 2016, Georgia Tech

 Graph analysis uses graph data collected on a physical, biological, or social phenomena to shed light on the underlying dynamics and behavior of the agents… (more)

Subjects/Keywords: Graph analysis; Graph algorithms; Data analysis; Spectral clustering; Numerical analysis

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APA (6th Edition):

Fairbanks, J. P. (2016). Graph analysis combining numerical, statistical, and streaming techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54972

Chicago Manual of Style (16th Edition):

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Doctoral Dissertation, Georgia Tech. Accessed November 29, 2020. http://hdl.handle.net/1853/54972.

MLA Handbook (7th Edition):

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Web. 29 Nov 2020.

Vancouver:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1853/54972.

Council of Science Editors:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54972


University of Alberta

13. Graves, Daniel. Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications.

Degree: PhD, Department of Electrical and Computer Engineering, 2011, University of Alberta

 The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in… (more)

Subjects/Keywords: Kernel-based clustering; Structural musical segmentation; Time series analysis; Multi-proximity clustering; Partially supervised learning; Active learning; Graph clustering; Fuzzy clustering; Time series clustering; Proximity hints

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APA (6th Edition):

Graves, D. (2011). Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cr56n183g

Chicago Manual of Style (16th Edition):

Graves, Daniel. “Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications.” 2011. Doctoral Dissertation, University of Alberta. Accessed November 29, 2020. https://era.library.ualberta.ca/files/cr56n183g.

MLA Handbook (7th Edition):

Graves, Daniel. “Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications.” 2011. Web. 29 Nov 2020.

Vancouver:

Graves D. Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2020 Nov 29]. Available from: https://era.library.ualberta.ca/files/cr56n183g.

Council of Science Editors:

Graves D. Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/cr56n183g


University of Guelph

14. Bessonov, Kyrylo. Functional Characterization of the NSF1 (YPL230W) Gene using Correlation Clustering and Genetic Analysis in Saccharomyces Cerevisiae.

Degree: MS, Department of Molecular and Cellular Biology, 2012, University of Guelph

 High throughput technologies such as microarrays and modern genome sequencers produce enormous amounts of data that require novel data processing. This thesis proposes a method… (more)

Subjects/Keywords: microarray analysis; NSF1 ( YPL230W ); correlation clustering; fermentation stress; novel gene functions; functional networks; clustering

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APA (6th Edition):

Bessonov, K. (2012). Functional Characterization of the NSF1 (YPL230W) Gene using Correlation Clustering and Genetic Analysis in Saccharomyces Cerevisiae. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3251

Chicago Manual of Style (16th Edition):

Bessonov, Kyrylo. “Functional Characterization of the NSF1 (YPL230W) Gene using Correlation Clustering and Genetic Analysis in Saccharomyces Cerevisiae.” 2012. Masters Thesis, University of Guelph. Accessed November 29, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3251.

MLA Handbook (7th Edition):

Bessonov, Kyrylo. “Functional Characterization of the NSF1 (YPL230W) Gene using Correlation Clustering and Genetic Analysis in Saccharomyces Cerevisiae.” 2012. Web. 29 Nov 2020.

Vancouver:

Bessonov K. Functional Characterization of the NSF1 (YPL230W) Gene using Correlation Clustering and Genetic Analysis in Saccharomyces Cerevisiae. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2020 Nov 29]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3251.

Council of Science Editors:

Bessonov K. Functional Characterization of the NSF1 (YPL230W) Gene using Correlation Clustering and Genetic Analysis in Saccharomyces Cerevisiae. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3251


Universidade do Rio Grande do Sul

15. Mello, Paula Lunardi de. Sistemáticas de agrupamento de países com base em indicadores de desempenho.

Degree: 2017, Universidade do Rio Grande do Sul

A economia mundial passou por grandes transformações no último século, as quais incluiram períodos de crescimento sustentado seguidos por outros de estagnação, governos alternando estratégias… (more)

Subjects/Keywords: Análise de clusters; Clustering; Indicadores econômicos; Variable selection; Principal component analysis; Clustering validation measures

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APA (6th Edition):

Mello, P. L. d. (2017). Sistemáticas de agrupamento de países com base em indicadores de desempenho. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/158359

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):

Mello, Paula Lunardi de. “Sistemáticas de agrupamento de países com base em indicadores de desempenho.” 2017. Thesis, Universidade do Rio Grande do Sul. Accessed November 29, 2020. http://hdl.handle.net/10183/158359.

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

MLA Handbook (7th Edition):

Mello, Paula Lunardi de. “Sistemáticas de agrupamento de países com base em indicadores de desempenho.” 2017. Web. 29 Nov 2020.

Vancouver:

Mello PLd. Sistemáticas de agrupamento de países com base em indicadores de desempenho. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2017. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10183/158359.

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

Council of Science Editors:

Mello PLd. Sistemáticas de agrupamento de países com base em indicadores de desempenho. [Thesis]. Universidade do Rio Grande do Sul; 2017. Available from: http://hdl.handle.net/10183/158359

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


University of Houston

16. Wang, Sujing 1975-. Spatial and Spatio-Temporal Clustering.

Degree: PhD, Computer Science, 2014, University of Houston

 Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and sensor networks, different types of spatial data become increasingly… (more)

Subjects/Keywords: Spatial Clustering; Spatio-temporal clustering; Polygon; Post-processing Analysis; Uniform Regions; Popular Signatures

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

APA (6th Edition):

Wang, S. 1. (2014). Spatial and Spatio-Temporal Clustering. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/2022

Chicago Manual of Style (16th Edition):

Wang, Sujing 1975-. “Spatial and Spatio-Temporal Clustering.” 2014. Doctoral Dissertation, University of Houston. Accessed November 29, 2020. http://hdl.handle.net/10657/2022.

MLA Handbook (7th Edition):

Wang, Sujing 1975-. “Spatial and Spatio-Temporal Clustering.” 2014. Web. 29 Nov 2020.

Vancouver:

Wang S1. Spatial and Spatio-Temporal Clustering. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10657/2022.

Council of Science Editors:

Wang S1. Spatial and Spatio-Temporal Clustering. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/2022


University of Newcastle

17. Arefin, Ahmed Shamsul. An integrated, fast and scalable approach for large-scale biological network analysis.

Degree: κNN) graph-based approach. Moreover, instead of constructing the graph/network on a highly expensive system, we show its construction on graphics processing units (GPUs), which are now widely available as inexpensive, highly parallel devices. The outcome of our κNN graph construction method (termed as GPU-FS-κNN) can be used to carry out many other important computational tasks. In particular, we demonstrate its applications in two popular data analysis methods: clustering and centrality analysis. To do this, we first propose a GPU-based fast method for constructing minimum spanning trees (MST) from the κNN graphs (termed as κNN-Borůvka) and a method for partitioning the trees in an agglomerative fashion (termed as κNN-Borůvka-Agglomerative). Then, we demonstrate the use of κNN graphs in accelerating and scaling the computations of two degree-based (e.g., degree and eigenvectors) and three shortest path based (closeness, eccentricity and betweenness) centrality metrics. At the end, we integrate the developed methods and combinedly apply them on two publicly available gene-expression data sets (Alzheimer’s disease and breast cancer, two popular data analysis methods: clustering and centrality analysis. To do this, we first propose a GPU-based fast method for constructing minimum spanning trees (MST) from the κNN graphs (termed as κNN-Borůvka) and a method for partitioning the trees in an agglomerative fashion (termed as κNN-Borůvka-Agglomerative). Then, we demonstrate the use of κNN graphs in accelerating and scaling the computations of two degree-based (e.g., degree and eigenvectors) and three shortest path based (closeness, eccentricity and betweenness) centrality metrics. At the end, we integrate the developed methods and combinedly apply them on two publicly available gene-expression data sets (Alzheimer’s disease and breast cancer, 2013, University of Newcastle

Research Doctorate - Computer Science

THE amount of data in our world has been exploding. Computer-based methods used to analyze data ten years ago are… (more)

Subjects/Keywords: data clustering; centrality analysis; GPU-based computation; microarray-based data analysis

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

APA (6th Edition):

Arefin, A. S. (2013). An integrated, fast and scalable approach for large-scale biological network analysis. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/938499

Chicago Manual of Style (16th Edition):

Arefin, Ahmed Shamsul. “An integrated, fast and scalable approach for large-scale biological network analysis.” 2013. Doctoral Dissertation, University of Newcastle. Accessed November 29, 2020. http://hdl.handle.net/1959.13/938499.

MLA Handbook (7th Edition):

Arefin, Ahmed Shamsul. “An integrated, fast and scalable approach for large-scale biological network analysis.” 2013. Web. 29 Nov 2020.

Vancouver:

Arefin AS. An integrated, fast and scalable approach for large-scale biological network analysis. [Internet] [Doctoral dissertation]. University of Newcastle; 2013. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1959.13/938499.

Council of Science Editors:

Arefin AS. An integrated, fast and scalable approach for large-scale biological network analysis. [Doctoral Dissertation]. University of Newcastle; 2013. Available from: http://hdl.handle.net/1959.13/938499


University of Guelph

18. Murray, Paula. Mixtures of Skew-t Factor Analyzers.

Degree: MS, Department of Mathematics and Statistics, 2012, University of Guelph

 Model-based clustering allows for the identification of subgroups in a data set through the use of finite mixture models. When applied to high-dimensional microarray data,… (more)

Subjects/Keywords: Cluster Analysis; Model-based Clustering; Skew-t Distribution; Factor Analysis

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

APA (6th Edition):

Murray, P. (2012). Mixtures of Skew-t Factor Analyzers. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5274

Chicago Manual of Style (16th Edition):

Murray, Paula. “Mixtures of Skew-t Factor Analyzers.” 2012. Masters Thesis, University of Guelph. Accessed November 29, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5274.

MLA Handbook (7th Edition):

Murray, Paula. “Mixtures of Skew-t Factor Analyzers.” 2012. Web. 29 Nov 2020.

Vancouver:

Murray P. Mixtures of Skew-t Factor Analyzers. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2020 Nov 29]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5274.

Council of Science Editors:

Murray P. Mixtures of Skew-t Factor Analyzers. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5274


Delft University of Technology

19. de Boer, Y.J.I. (author). Authorship Attribution of Malware Binaries.

Degree: 2020, Delft University of Technology

 Attribution of the malware to the developers writing the malware is an important factor in cybercrime investigative work. Clustering together not only malware of the… (more)

Subjects/Keywords: Malware families; Clustering; Malware binary; Dynamic Analysis; Static Analysis

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

APA (6th Edition):

de Boer, Y. J. I. (. (2020). Authorship Attribution of Malware Binaries. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8546cb88-eb01-4946-baca-0a5d1846cb92

Chicago Manual of Style (16th Edition):

de Boer, Y J I (author). “Authorship Attribution of Malware Binaries.” 2020. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:8546cb88-eb01-4946-baca-0a5d1846cb92.

MLA Handbook (7th Edition):

de Boer, Y J I (author). “Authorship Attribution of Malware Binaries.” 2020. Web. 29 Nov 2020.

Vancouver:

de Boer YJI(. Authorship Attribution of Malware Binaries. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:8546cb88-eb01-4946-baca-0a5d1846cb92.

Council of Science Editors:

de Boer YJI(. Authorship Attribution of Malware Binaries. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:8546cb88-eb01-4946-baca-0a5d1846cb92


University of Adelaide

20. Conway, Annie. Clustering of proteomics imaging mass spectrometry data.

Degree: 2016, University of Adelaide

 This thesis presents a toolbox for the exploratory analysis of multivariate data, in particular proteomics imaging mass spectrometry data. Typically such data consist of 15000… (more)

Subjects/Keywords: clustering; proteomics; multivariate data analysis; high-dimensional data analysis; machine learning

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

APA (6th Edition):

Conway, A. (2016). Clustering of proteomics imaging mass spectrometry data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/112036

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):

Conway, Annie. “Clustering of proteomics imaging mass spectrometry data.” 2016. Thesis, University of Adelaide. Accessed November 29, 2020. http://hdl.handle.net/2440/112036.

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

MLA Handbook (7th Edition):

Conway, Annie. “Clustering of proteomics imaging mass spectrometry data.” 2016. Web. 29 Nov 2020.

Vancouver:

Conway A. Clustering of proteomics imaging mass spectrometry data. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/2440/112036.

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

Council of Science Editors:

Conway A. Clustering of proteomics imaging mass spectrometry data. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/112036

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


Georgia Tech

21. Gupta, Pramod. Robust clustering algorithms.

Degree: MS, Computing, 2011, Georgia Tech

 One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across any different fields ranging from… (more)

Subjects/Keywords: Robust algorithms; Hierarchical clustering; Unsupervised learning; Clustering; Machine learning; Cluster analysis; Cluster analysis Computer programs; Algorithms

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

APA (6th Edition):

Gupta, P. (2011). Robust clustering algorithms. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39553

Chicago Manual of Style (16th Edition):

Gupta, Pramod. “Robust clustering algorithms.” 2011. Masters Thesis, Georgia Tech. Accessed November 29, 2020. http://hdl.handle.net/1853/39553.

MLA Handbook (7th Edition):

Gupta, Pramod. “Robust clustering algorithms.” 2011. Web. 29 Nov 2020.

Vancouver:

Gupta P. Robust clustering algorithms. [Internet] [Masters thesis]. Georgia Tech; 2011. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1853/39553.

Council of Science Editors:

Gupta P. Robust clustering algorithms. [Masters Thesis]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39553

22. MacDougall-Heasman, Mavis Ann. The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain.

Degree: Doctoral Thesis, SAS, 2020, Abertay University

 Diazepam is an effective pharmaceutical used for both medicinal and illicit purposes and its popularity has led to the sale of both diverted pharmaceutical tablets… (more)

Subjects/Keywords: Diazepam; Illicit; Drugs; Clustering; Analysis; Physical characterisation; Chemical properties; Comparison; Pharmacutical; Black market; Phenazepam; Etizolam; GC-MS; HPLC; Principal component analysis; Agglomerative hierarchical clustering; Differential scanning calorimetry; K-means clustering

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

APA (6th Edition):

MacDougall-Heasman, M. A. (2020). The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain. (Thesis). Abertay University. Retrieved from https://rke.abertay.ac.uk/en/studentTheses/abd4ea86-9f3a-4178-b7a8-4adf2914b17f

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):

MacDougall-Heasman, Mavis Ann. “The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain.” 2020. Thesis, Abertay University. Accessed November 29, 2020. https://rke.abertay.ac.uk/en/studentTheses/abd4ea86-9f3a-4178-b7a8-4adf2914b17f.

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

MLA Handbook (7th Edition):

MacDougall-Heasman, Mavis Ann. “The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain.” 2020. Web. 29 Nov 2020.

Vancouver:

MacDougall-Heasman MA. The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain. [Internet] [Thesis]. Abertay University; 2020. [cited 2020 Nov 29]. Available from: https://rke.abertay.ac.uk/en/studentTheses/abd4ea86-9f3a-4178-b7a8-4adf2914b17f.

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

Council of Science Editors:

MacDougall-Heasman MA. The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain. [Thesis]. Abertay University; 2020. Available from: https://rke.abertay.ac.uk/en/studentTheses/abd4ea86-9f3a-4178-b7a8-4adf2914b17f

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


NSYSU

23. Huang, Bo-chi. Distributed Spiral Optimization: Using Clustering as a Case.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 Nowadays, metaheuristics have become more and more important in solving the combinatorial optimization problems (COPs) for which the traditional methods (such as k-means, tabu search,… (more)

Subjects/Keywords: metaheuristic; spiral optimization; clustering; sensitivity analysis; distributed spiral optimization

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

APA (6th Edition):

Huang, B. (2013). Distributed Spiral Optimization: Using Clustering as a Case. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

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, Bo-chi. “Distributed Spiral Optimization: Using Clustering as a Case.” 2013. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958.

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

MLA Handbook (7th Edition):

Huang, Bo-chi. “Distributed Spiral Optimization: Using Clustering as a Case.” 2013. Web. 29 Nov 2020.

Vancouver:

Huang B. Distributed Spiral Optimization: Using Clustering as a Case. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958.

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

Council of Science Editors:

Huang B. Distributed Spiral Optimization: Using Clustering as a Case. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

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


NSYSU

24. Huang, Chiao-Wei. Incremental Clustering Malware from Honeypots.

Degree: Master, Information Management, 2013, NSYSU

 In recent years, cybercriminals use new malware or variants in order to effectively evade inspection from security mechanisms. The honeypot is able to capture the… (more)

Subjects/Keywords: Incremental clustering; Source code similarity; Static analysis; Honeypot; Malware

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

APA (6th Edition):

Huang, C. (2013). Incremental Clustering Malware from Honeypots. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-152613

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, Chiao-Wei. “Incremental Clustering Malware from Honeypots.” 2013. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-152613.

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

MLA Handbook (7th Edition):

Huang, Chiao-Wei. “Incremental Clustering Malware from Honeypots.” 2013. Web. 29 Nov 2020.

Vancouver:

Huang C. Incremental Clustering Malware from Honeypots. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-152613.

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

Council of Science Editors:

Huang C. Incremental Clustering Malware from Honeypots. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-152613

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


NSYSU

25. Chang, Hsuan-hao. Integrating Bio-medical properties to predict drug side effects.

Degree: Master, Information Management, 2016, NSYSU

 Taking medications often means taking the risks of side effects caused by various drugs. According to the medical reports, the number of patients died for… (more)

Subjects/Keywords: similarity analysis; drug classification; drug clustering; data mining; drug side effects

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APA (6th Edition):

Chang, H. (2016). Integrating Bio-medical properties to predict drug side effects. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802116-145125

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):

Chang, Hsuan-hao. “Integrating Bio-medical properties to predict drug side effects.” 2016. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802116-145125.

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

MLA Handbook (7th Edition):

Chang, Hsuan-hao. “Integrating Bio-medical properties to predict drug side effects.” 2016. Web. 29 Nov 2020.

Vancouver:

Chang H. Integrating Bio-medical properties to predict drug side effects. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802116-145125.

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

Council of Science Editors:

Chang H. Integrating Bio-medical properties to predict drug side effects. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802116-145125

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


NSYSU

26. Wang, I-Kai. Multi-layer Incremental Clustering for Malware Analysis.

Degree: Master, Information Management, 2015, NSYSU

 The threat of malware is definitely the most important topic of internet security. As the growth of malware is faster ever and ever, the defense… (more)

Subjects/Keywords: incremental clustering; malware detection; static analysis; malware family

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APA (6th Edition):

Wang, I. (2015). Multi-layer Incremental Clustering for Malware Analysis. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815115-154123

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, I-Kai. “Multi-layer Incremental Clustering for Malware Analysis.” 2015. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815115-154123.

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

MLA Handbook (7th Edition):

Wang, I-Kai. “Multi-layer Incremental Clustering for Malware Analysis.” 2015. Web. 29 Nov 2020.

Vancouver:

Wang I. Multi-layer Incremental Clustering for Malware Analysis. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815115-154123.

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

Council of Science Editors:

Wang I. Multi-layer Incremental Clustering for Malware Analysis. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815115-154123

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


NSYSU

27. Wu, Fang-chung. Study on clustering of data mining for friendship network.

Degree: Master, Communications Engineering, 2015, NSYSU

 Social network has obtained remarkable attention for the past few years. Accessing social network sites such as Facebook , LinkedIn and Google+. People are interested… (more)

Subjects/Keywords: friendship networks; data mining; social network; spectral clustering; cluster analysis

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APA (6th Edition):

Wu, F. (2015). Study on clustering of data mining for friendship network. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628

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, Fang-chung. “Study on clustering of data mining for friendship network.” 2015. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628.

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

MLA Handbook (7th Edition):

Wu, Fang-chung. “Study on clustering of data mining for friendship network.” 2015. Web. 29 Nov 2020.

Vancouver:

Wu F. Study on clustering of data mining for friendship network. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628.

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

Council of Science Editors:

Wu F. Study on clustering of data mining for friendship network. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617115-143628

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

28. Peltonen, Jaakko. Data Exploration with Learning Metrics.

Degree: 2004, Helsinki University of Technology

A crucial problem in exploratory analysis of data is that it is difficult for computational methods to focus on interesting aspects of data. Traditional methods… (more)

Subjects/Keywords: clustering; data mining; exploratory data analysis; learning metrics; supervision; visualization

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APA (6th Edition):

Peltonen, J. (2004). Data Exploration with Learning Metrics. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2004/isbn9512273454/

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):

Peltonen, Jaakko. “Data Exploration with Learning Metrics.” 2004. Thesis, Helsinki University of Technology. Accessed November 29, 2020. http://lib.tkk.fi/Diss/2004/isbn9512273454/.

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

MLA Handbook (7th Edition):

Peltonen, Jaakko. “Data Exploration with Learning Metrics.” 2004. Web. 29 Nov 2020.

Vancouver:

Peltonen J. Data Exploration with Learning Metrics. [Internet] [Thesis]. Helsinki University of Technology; 2004. [cited 2020 Nov 29]. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273454/.

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

Council of Science Editors:

Peltonen J. Data Exploration with Learning Metrics. [Thesis]. Helsinki University of Technology; 2004. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273454/

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

29. Καράγεωργα, Ισμήνη. Ανάλυση συστάδων (cluster analysis).

Degree: 2012, University of Patras

Στη συγκεκριμένη διπλωματική εργασία αναλύεται το πρόβλημα της ανάλυσης συστάδων. Σκοπός της ανάλυσης συστάδων είναι να ομαδοποιεί τα στοιχεία σε cluster έτσι ώστε τα στοιχεία… (more)

Subjects/Keywords: Ανάλυση συστάδων; Ομαδοποίηση δεδομένων; 519.53; Cluster analysis; Clustering

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

APA (6th Edition):

Καράγεωργα, . (2012). Ανάλυση συστάδων (cluster analysis). (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/5932

Chicago Manual of Style (16th Edition):

Καράγεωργα, Ισμήνη. “Ανάλυση συστάδων (cluster analysis).” 2012. Masters Thesis, University of Patras. Accessed November 29, 2020. http://hdl.handle.net/10889/5932.

MLA Handbook (7th Edition):

Καράγεωργα, Ισμήνη. “Ανάλυση συστάδων (cluster analysis).” 2012. Web. 29 Nov 2020.

Vancouver:

Καράγεωργα . Ανάλυση συστάδων (cluster analysis). [Internet] [Masters thesis]. University of Patras; 2012. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10889/5932.

Council of Science Editors:

Καράγεωργα . Ανάλυση συστάδων (cluster analysis). [Masters Thesis]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5932


University of Manchester

30. Ba-Dhfari, Thamer Omer faraj. HYPOTHESIS FORMULATION IN MEDICAL RECORDS SPACE.

Degree: 2017, University of Manchester

 Patient medical records are a valuable resource that can be used for many purposes including managing and planning for future health needs as well as… (more)

Subjects/Keywords: Electronic patient records; Semantic similarity; Principal component analysis; clustering

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

APA (6th Edition):

Ba-Dhfari, T. O. f. (2017). HYPOTHESIS FORMULATION IN MEDICAL RECORDS SPACE. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307810

Chicago Manual of Style (16th Edition):

Ba-Dhfari, Thamer Omer faraj. “HYPOTHESIS FORMULATION IN MEDICAL RECORDS SPACE.” 2017. Doctoral Dissertation, University of Manchester. Accessed November 29, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307810.

MLA Handbook (7th Edition):

Ba-Dhfari, Thamer Omer faraj. “HYPOTHESIS FORMULATION IN MEDICAL RECORDS SPACE.” 2017. Web. 29 Nov 2020.

Vancouver:

Ba-Dhfari TOf. HYPOTHESIS FORMULATION IN MEDICAL RECORDS SPACE. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2020 Nov 29]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307810.

Council of Science Editors:

Ba-Dhfari TOf. HYPOTHESIS FORMULATION IN MEDICAL RECORDS SPACE. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307810

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