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You searched for subject:(Clustering). Showing records 1 – 30 of 3065 total matches.

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1. Koestler, Devin C. Enhancements for Model-based Clustering of High-dimensional Genomic Data.

Degree: PhD, Biostatistics, 2012, Brown University

 Unsupervised clustering has emerged as one of the most popular techniques for the analysis of high-dimensional genomic data. The growing popularity of unsupervised clustering within… (more)

Subjects/Keywords: clustering

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

APA (6th Edition):

Koestler, D. C. (2012). Enhancements for Model-based Clustering of High-dimensional Genomic Data. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297533/

Chicago Manual of Style (16th Edition):

Koestler, Devin C. “Enhancements for Model-based Clustering of High-dimensional Genomic Data.” 2012. Doctoral Dissertation, Brown University. Accessed February 28, 2020. https://repository.library.brown.edu/studio/item/bdr:297533/.

MLA Handbook (7th Edition):

Koestler, Devin C. “Enhancements for Model-based Clustering of High-dimensional Genomic Data.” 2012. Web. 28 Feb 2020.

Vancouver:

Koestler DC. Enhancements for Model-based Clustering of High-dimensional Genomic Data. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Feb 28]. Available from: https://repository.library.brown.edu/studio/item/bdr:297533/.

Council of Science Editors:

Koestler DC. Enhancements for Model-based Clustering of High-dimensional Genomic Data. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297533/

2. Melvin, Ryan Lee. Bias, Uncertainty and Ions.

Degree: 2018, Wake Forest University

This dissertation discusses the development of novel visualization techniques for biopolymer structures, the application of machine learning to biophysical data, and an in depth atomic-level investigation of a therapeutic nucleic acid called “F10.”

Subjects/Keywords: Clustering

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APA (6th Edition):

Melvin, R. L. (2018). Bias, Uncertainty and Ions. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/90690

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):

Melvin, Ryan Lee. “Bias, Uncertainty and Ions.” 2018. Thesis, Wake Forest University. Accessed February 28, 2020. http://hdl.handle.net/10339/90690.

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

MLA Handbook (7th Edition):

Melvin, Ryan Lee. “Bias, Uncertainty and Ions.” 2018. Web. 28 Feb 2020.

Vancouver:

Melvin RL. Bias, Uncertainty and Ions. [Internet] [Thesis]. Wake Forest University; 2018. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10339/90690.

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

Council of Science Editors:

Melvin RL. Bias, Uncertainty and Ions. [Thesis]. Wake Forest University; 2018. Available from: http://hdl.handle.net/10339/90690

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


Wake Forest University

3. Godwin, Ryan Christopher. Binding NEMO: Adventures in Molecular Dynamics.

Degree: 2017, Wake Forest University

Molecular dynamics is an indispensable tool for dissecting atomic-level interactions of critical physiological macromolecules.

Subjects/Keywords: Clustering

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APA (6th Edition):

Godwin, R. C. (2017). Binding NEMO: Adventures in Molecular Dynamics. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/82237

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):

Godwin, Ryan Christopher. “Binding NEMO: Adventures in Molecular Dynamics.” 2017. Thesis, Wake Forest University. Accessed February 28, 2020. http://hdl.handle.net/10339/82237.

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

MLA Handbook (7th Edition):

Godwin, Ryan Christopher. “Binding NEMO: Adventures in Molecular Dynamics.” 2017. Web. 28 Feb 2020.

Vancouver:

Godwin RC. Binding NEMO: Adventures in Molecular Dynamics. [Internet] [Thesis]. Wake Forest University; 2017. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10339/82237.

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

Council of Science Editors:

Godwin RC. Binding NEMO: Adventures in Molecular Dynamics. [Thesis]. Wake Forest University; 2017. Available from: http://hdl.handle.net/10339/82237

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


University of Hawaii – Manoa

4. Miller, Lisa Jane. Information theoretic clustering of astrobiology documents.

Degree: 2016, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2012.

Astrobiology is a new and highly interdisciplinary field encompassing research from a diversity of disciplines including astrophysics, biology,… (more)

Subjects/Keywords: clustering; information theoretic clustering

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APA (6th Edition):

Miller, L. J. (2016). Information theoretic clustering of astrobiology documents. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/100993

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):

Miller, Lisa Jane. “Information theoretic clustering of astrobiology documents.” 2016. Thesis, University of Hawaii – Manoa. Accessed February 28, 2020. http://hdl.handle.net/10125/100993.

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

MLA Handbook (7th Edition):

Miller, Lisa Jane. “Information theoretic clustering of astrobiology documents.” 2016. Web. 28 Feb 2020.

Vancouver:

Miller LJ. Information theoretic clustering of astrobiology documents. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10125/100993.

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

Council of Science Editors:

Miller LJ. Information theoretic clustering of astrobiology documents. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/100993

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


NSYSU

5. Chen, Wen-Ling. A Novel Multiobjective EA-based Clustering Algorithm with Automatic Determination of the Number of Clusters.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 Automatically determining the number of clusters without a priori knowledge is a difficult research issue for data clustering problem. An effective multiobjective evolutionary algorithm based… (more)

Subjects/Keywords: diversity; multiobjective clustering; Clustering

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APA (6th Edition):

Chen, W. (2012). A Novel Multiobjective EA-based Clustering Algorithm with Automatic Determination of the Number of Clusters. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907112-210106

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):

Chen, Wen-Ling. “A Novel Multiobjective EA-based Clustering Algorithm with Automatic Determination of the Number of Clusters.” 2012. Thesis, NSYSU. Accessed February 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907112-210106.

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

MLA Handbook (7th Edition):

Chen, Wen-Ling. “A Novel Multiobjective EA-based Clustering Algorithm with Automatic Determination of the Number of Clusters.” 2012. Web. 28 Feb 2020.

Vancouver:

Chen W. A Novel Multiobjective EA-based Clustering Algorithm with Automatic Determination of the Number of Clusters. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Feb 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907112-210106.

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

Council of Science Editors:

Chen W. A Novel Multiobjective EA-based Clustering Algorithm with Automatic Determination of the Number of Clusters. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907112-210106

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


Penn State University

6. Kare, Nachiket C. Clustering and classification of images based on salient data points.

Degree: MS, Electrical Engineering, 2016, Penn State University

 In this thesis work, we consider the problem of object clustering and classification from a set of images. The problem being considered here is supervised… (more)

Subjects/Keywords: saliency detection; clustering; supervised clustering

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APA (6th Edition):

Kare, N. C. (2016). Clustering and classification of images based on salient data points. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/28878

Chicago Manual of Style (16th Edition):

Kare, Nachiket C. “Clustering and classification of images based on salient data points.” 2016. Masters Thesis, Penn State University. Accessed February 28, 2020. https://etda.libraries.psu.edu/catalog/28878.

MLA Handbook (7th Edition):

Kare, Nachiket C. “Clustering and classification of images based on salient data points.” 2016. Web. 28 Feb 2020.

Vancouver:

Kare NC. Clustering and classification of images based on salient data points. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2020 Feb 28]. Available from: https://etda.libraries.psu.edu/catalog/28878.

Council of Science Editors:

Kare NC. Clustering and classification of images based on salient data points. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/28878


Vilnius University

7. Penikas, Marius. Duomenų grupavimo taikymai transporto sistemose.

Degree: Master, 2009, Vilnius University

Transporto informacinės sistemos privalo greitai apdoroti milžiniškus ir vis didėjančius duomenų kiekius. Kadangi skirtingiems tikslams pasiekti ar skirtingoms išvadoms padaryti reikalingų duomenų kiekis kartais gali… (more)

Subjects/Keywords: Grupavimas; Clustering

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APA (6th Edition):

Penikas, Marius. (2009). Duomenų grupavimo taikymai transporto sistemose. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184401-71779 ;

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

Chicago Manual of Style (16th Edition):

Penikas, Marius. “Duomenų grupavimo taikymai transporto sistemose.” 2009. Masters Thesis, Vilnius University. Accessed February 28, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184401-71779 ;.

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

MLA Handbook (7th Edition):

Penikas, Marius. “Duomenų grupavimo taikymai transporto sistemose.” 2009. Web. 28 Feb 2020.

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

Vancouver:

Penikas, Marius. Duomenų grupavimo taikymai transporto sistemose. [Internet] [Masters thesis]. Vilnius University; 2009. [cited 2020 Feb 28]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184401-71779 ;.

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

Council of Science Editors:

Penikas, Marius. Duomenų grupavimo taikymai transporto sistemose. [Masters Thesis]. Vilnius University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184401-71779 ;

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

8. Haghtalab, Nika. Clustering in the Presence of Noise.

Degree: 2013, University of Waterloo

Clustering, which is partitioning data into groups of similar objects, has a wide range of applications. In many cases unstructured data makes up a significant… (more)

Subjects/Keywords: Clustering

…suitable criteria for evaluating clustering algorithms that have a noise cluster. The dotted… …Introduction Clustering, partitioning the data into groups of similar objects, has many applications… …objects that are placed on an unstructured background set. A suitable clustering method should… …other noise points and outliers. • Consider the use of clustering in market research for the… …groups of people with similar traits. A good clustering of the data should contain clusters… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Haghtalab, N. (2013). Clustering in the Presence of Noise. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7742

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):

Haghtalab, Nika. “Clustering in the Presence of Noise.” 2013. Thesis, University of Waterloo. Accessed February 28, 2020. http://hdl.handle.net/10012/7742.

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

MLA Handbook (7th Edition):

Haghtalab, Nika. “Clustering in the Presence of Noise.” 2013. Web. 28 Feb 2020.

Vancouver:

Haghtalab N. Clustering in the Presence of Noise. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10012/7742.

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

Council of Science Editors:

Haghtalab N. Clustering in the Presence of Noise. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7742

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


Wake Forest University

9. Kotsonis, Rebecca. A New Look at Clustering Coefficients with Generalization to Weighted and Multi-Faction Networks.

Degree: 2017, Wake Forest University

 In this thesis, we propose a new method for studying local and global clustering in networks employing random walk pairs. The method is intuitive and… (more)

Subjects/Keywords: Clustering coefficient

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APA (6th Edition):

Kotsonis, R. (2017). A New Look at Clustering Coefficients with Generalization to Weighted and Multi-Faction Networks. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/82258

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):

Kotsonis, Rebecca. “A New Look at Clustering Coefficients with Generalization to Weighted and Multi-Faction Networks.” 2017. Thesis, Wake Forest University. Accessed February 28, 2020. http://hdl.handle.net/10339/82258.

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

MLA Handbook (7th Edition):

Kotsonis, Rebecca. “A New Look at Clustering Coefficients with Generalization to Weighted and Multi-Faction Networks.” 2017. Web. 28 Feb 2020.

Vancouver:

Kotsonis R. A New Look at Clustering Coefficients with Generalization to Weighted and Multi-Faction Networks. [Internet] [Thesis]. Wake Forest University; 2017. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10339/82258.

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

Council of Science Editors:

Kotsonis R. A New Look at Clustering Coefficients with Generalization to Weighted and Multi-Faction Networks. [Thesis]. Wake Forest University; 2017. Available from: http://hdl.handle.net/10339/82258

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

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

Degree: Docteur es, Informatique, 2015, Université Paris-Saclay (ComUE)

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Avril, François. “Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering.” 2015. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed February 28, 2020. http://www.theses.fr/2015SACLV034.

MLA Handbook (7th Edition):

Avril, François. “Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering.” 2015. Web. 28 Feb 2020.

Vancouver:

Avril F. Mécanismes pour la cohérence, l'atomicité et les communications au niveau des clusters : application au clustering hiérarchique distribué adaptatif : Mechanism for coherence, atomicity and communications at clusters level : application to adaptative distributed hierarchical clustering. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2015. [cited 2020 Feb 28]. Available from: http://www.theses.fr/2015SACLV034.

Council of Science Editors:

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

11. Lauf, Aurélien. Propagation du buzz sur Internet  – Identification, analyse, modélisation et représentation dans un contexte de veille : Buzz lifecyle on the Web  – Identification, analysis, modelization and representation in the context of strategic and competitive intelligence.

Degree: Docteur es, Traitement automatique des langues, 2014, Paris, INALCO

S’inscrivant dans un contexte de veille et d’intelligence d’entreprise sur Internet, l’objectif de cette thèse est d’élaborer des outils et des méthodes permettant d’identifier, analyser,… (more)

Subjects/Keywords: Buzz; Clustering; Cooccurrence; Buzz; Clustering; Cooccurrence

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APA (6th Edition):

Lauf, A. (2014). Propagation du buzz sur Internet  – Identification, analyse, modélisation et représentation dans un contexte de veille : Buzz lifecyle on the Web  – Identification, analysis, modelization and representation in the context of strategic and competitive intelligence. (Doctoral Dissertation). Paris, INALCO. Retrieved from http://www.theses.fr/2014INAL0019

Chicago Manual of Style (16th Edition):

Lauf, Aurélien. “Propagation du buzz sur Internet  – Identification, analyse, modélisation et représentation dans un contexte de veille : Buzz lifecyle on the Web  – Identification, analysis, modelization and representation in the context of strategic and competitive intelligence.” 2014. Doctoral Dissertation, Paris, INALCO. Accessed February 28, 2020. http://www.theses.fr/2014INAL0019.

MLA Handbook (7th Edition):

Lauf, Aurélien. “Propagation du buzz sur Internet  – Identification, analyse, modélisation et représentation dans un contexte de veille : Buzz lifecyle on the Web  – Identification, analysis, modelization and representation in the context of strategic and competitive intelligence.” 2014. Web. 28 Feb 2020.

Vancouver:

Lauf A. Propagation du buzz sur Internet  – Identification, analyse, modélisation et représentation dans un contexte de veille : Buzz lifecyle on the Web  – Identification, analysis, modelization and representation in the context of strategic and competitive intelligence. [Internet] [Doctoral dissertation]. Paris, INALCO; 2014. [cited 2020 Feb 28]. Available from: http://www.theses.fr/2014INAL0019.

Council of Science Editors:

Lauf A. Propagation du buzz sur Internet  – Identification, analyse, modélisation et représentation dans un contexte de veille : Buzz lifecyle on the Web  – Identification, analysis, modelization and representation in the context of strategic and competitive intelligence. [Doctoral Dissertation]. Paris, INALCO; 2014. Available from: http://www.theses.fr/2014INAL0019


University of Alberta

12. Pourrajabi, Mojgan. A Parameter Selection Framework For Semi-Supervised Clustering Algorithms.

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

 Many clustering techniques require parameter settings and depending on an algorithms sensitivity to the parameter, the choice of the parameter value can be very important.… (more)

Subjects/Keywords: Clustering parameter; Parameter selection; Semi-supervised clustering

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APA (6th Edition):

Pourrajabi, M. (2013). A Parameter Selection Framework For Semi-Supervised Clustering Algorithms. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6395w823g

Chicago Manual of Style (16th Edition):

Pourrajabi, Mojgan. “A Parameter Selection Framework For Semi-Supervised Clustering Algorithms.” 2013. Masters Thesis, University of Alberta. Accessed February 28, 2020. https://era.library.ualberta.ca/files/6395w823g.

MLA Handbook (7th Edition):

Pourrajabi, Mojgan. “A Parameter Selection Framework For Semi-Supervised Clustering Algorithms.” 2013. Web. 28 Feb 2020.

Vancouver:

Pourrajabi M. A Parameter Selection Framework For Semi-Supervised Clustering Algorithms. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Feb 28]. Available from: https://era.library.ualberta.ca/files/6395w823g.

Council of Science Editors:

Pourrajabi M. A Parameter Selection Framework For Semi-Supervised Clustering Algorithms. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/6395w823g


Texas A&M University

13. Yi, Gang Man. An algorithm for identifying clusters of functionally related genes in genomes.

Degree: 2009, Texas A&M University

 An increasing body of literature shows that genomes of eukaryotes can contain clusters of functionally related genes. Most approaches to identify gene clusters utilize microarray… (more)

Subjects/Keywords: gene clustering; clustering algorithm; Gene Ontology

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APA (6th Edition):

Yi, G. M. (2009). An algorithm for identifying clusters of functionally related genes in genomes. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1079

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):

Yi, Gang Man. “An algorithm for identifying clusters of functionally related genes in genomes.” 2009. Thesis, Texas A&M University. Accessed February 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1079.

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

MLA Handbook (7th Edition):

Yi, Gang Man. “An algorithm for identifying clusters of functionally related genes in genomes.” 2009. Web. 28 Feb 2020.

Vancouver:

Yi GM. An algorithm for identifying clusters of functionally related genes in genomes. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1079.

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

Council of Science Editors:

Yi GM. An algorithm for identifying clusters of functionally related genes in genomes. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1079

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


George Mason University

14. Wang, Pu. Nonparametric Bayesian Models for Unsupervised Learning .

Degree: 2011, George Mason University

 Unsupervised learning is an important topic in machine learning. In particular, clustering is an unsupervised learning problem that arises in a variety of applications for… (more)

Subjects/Keywords: Unsupervised Learning; Clustering; Bayesian Nonparametrics; Clustering Ensembles

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APA (6th Edition):

Wang, P. (2011). Nonparametric Bayesian Models for Unsupervised Learning . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6360

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, Pu. “Nonparametric Bayesian Models for Unsupervised Learning .” 2011. Thesis, George Mason University. Accessed February 28, 2020. http://hdl.handle.net/1920/6360.

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

MLA Handbook (7th Edition):

Wang, Pu. “Nonparametric Bayesian Models for Unsupervised Learning .” 2011. Web. 28 Feb 2020.

Vancouver:

Wang P. Nonparametric Bayesian Models for Unsupervised Learning . [Internet] [Thesis]. George Mason University; 2011. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/1920/6360.

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

Council of Science Editors:

Wang P. Nonparametric Bayesian Models for Unsupervised Learning . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6360

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


University of Alberta

15. Wubie, Berhanu A. Clustering Survival Data using Random Forest and Persistent Homology.

Degree: MS, Department of Mathematical and Statistical Sciences, 2016, University of Alberta

 Survival data is mostly analyzed using Cox proportional hazards model to identify factors associated with survival time of patients. However recently random survival forest (RSF),… (more)

Subjects/Keywords: Clustering; Survival; Data

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APA (6th Edition):

Wubie, B. A. (2016). Clustering Survival Data using Random Forest and Persistent Homology. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c8w32r580b

Chicago Manual of Style (16th Edition):

Wubie, Berhanu A. “Clustering Survival Data using Random Forest and Persistent Homology.” 2016. Masters Thesis, University of Alberta. Accessed February 28, 2020. https://era.library.ualberta.ca/files/c8w32r580b.

MLA Handbook (7th Edition):

Wubie, Berhanu A. “Clustering Survival Data using Random Forest and Persistent Homology.” 2016. Web. 28 Feb 2020.

Vancouver:

Wubie BA. Clustering Survival Data using Random Forest and Persistent Homology. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Feb 28]. Available from: https://era.library.ualberta.ca/files/c8w32r580b.

Council of Science Editors:

Wubie BA. Clustering Survival Data using Random Forest and Persistent Homology. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c8w32r580b


Addis Ababa University

16. GEMECHIS, DEREJE DEGAGA. MODEL COMPUTATION OF WATER CLUSTERING (H2O) n EFFECT IN THE NEGATIVE ION PROTON TRANSFER REACTIONS .

Degree: 2012, Addis Ababa University

 We report the effect of water clustering (H2O) n in the negative ion proton transfer reactions on reaction rate constants and the change in the… (more)

Subjects/Keywords: WATER CLUSTERING; PROTON

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APA (6th Edition):

GEMECHIS, D. D. (2012). MODEL COMPUTATION OF WATER CLUSTERING (H2O) n EFFECT IN THE NEGATIVE ION PROTON TRANSFER REACTIONS . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/764

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):

GEMECHIS, DEREJE DEGAGA. “MODEL COMPUTATION OF WATER CLUSTERING (H2O) n EFFECT IN THE NEGATIVE ION PROTON TRANSFER REACTIONS .” 2012. Thesis, Addis Ababa University. Accessed February 28, 2020. http://etd.aau.edu.et/dspace/handle/123456789/764.

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

MLA Handbook (7th Edition):

GEMECHIS, DEREJE DEGAGA. “MODEL COMPUTATION OF WATER CLUSTERING (H2O) n EFFECT IN THE NEGATIVE ION PROTON TRANSFER REACTIONS .” 2012. Web. 28 Feb 2020.

Vancouver:

GEMECHIS DD. MODEL COMPUTATION OF WATER CLUSTERING (H2O) n EFFECT IN THE NEGATIVE ION PROTON TRANSFER REACTIONS . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2020 Feb 28]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/764.

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

Council of Science Editors:

GEMECHIS DD. MODEL COMPUTATION OF WATER CLUSTERING (H2O) n EFFECT IN THE NEGATIVE ION PROTON TRANSFER REACTIONS . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/764

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


University of Southern California

17. Lim, Jongwoo. An efficient approach to clustering datasets with mixed type attributes in data mining.

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

 We propose an efficient approach to clustering datasets with mixed type attributes (both numerical and categorical), while minimizing information loss during clustering. Real world datasets… (more)

Subjects/Keywords: clustering; data mining

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APA (6th Edition):

Lim, J. (2013). An efficient approach to clustering datasets with mixed type attributes in data mining. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695

Chicago Manual of Style (16th Edition):

Lim, Jongwoo. “An efficient approach to clustering datasets with mixed type attributes in data mining.” 2013. Doctoral Dissertation, University of Southern California. Accessed February 28, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695.

MLA Handbook (7th Edition):

Lim, Jongwoo. “An efficient approach to clustering datasets with mixed type attributes in data mining.” 2013. Web. 28 Feb 2020.

Vancouver:

Lim J. An efficient approach to clustering datasets with mixed type attributes in data mining. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Feb 28]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695.

Council of Science Editors:

Lim J. An efficient approach to clustering datasets with mixed type attributes in data mining. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695


University of Tennessee – Knoxville

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

Degree: 2017, University of Tennessee – Knoxville

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Zhang, Yang. “Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System.” 2017. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed February 28, 2020. https://trace.tennessee.edu/utk_graddiss/4719.

MLA Handbook (7th Edition):

Zhang, Yang. “Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System.” 2017. Web. 28 Feb 2020.

Vancouver:

Zhang Y. Physical Information Incorporated Clustering Techniques and Their Applications in Transportation Information System. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2017. [cited 2020 Feb 28]. Available from: https://trace.tennessee.edu/utk_graddiss/4719.

Council of Science Editors:

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


University of Connecticut

19. Acker, Jennifer C. Evidence and Implications of Weight Clustering Among Adolescents.

Degree: MA, Psychology, 2013, University of Connecticut

  Both obesity and eating disorders (ED) are increasingly conceptualized from an ecological model of health, which emphasizes the importance of individual and contextual variables.… (more)

Subjects/Keywords: Adolescent Weight Clustering

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APA (6th Edition):

Acker, J. C. (2013). Evidence and Implications of Weight Clustering Among Adolescents. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/520

Chicago Manual of Style (16th Edition):

Acker, Jennifer C. “Evidence and Implications of Weight Clustering Among Adolescents.” 2013. Masters Thesis, University of Connecticut. Accessed February 28, 2020. https://opencommons.uconn.edu/gs_theses/520.

MLA Handbook (7th Edition):

Acker, Jennifer C. “Evidence and Implications of Weight Clustering Among Adolescents.” 2013. Web. 28 Feb 2020.

Vancouver:

Acker JC. Evidence and Implications of Weight Clustering Among Adolescents. [Internet] [Masters thesis]. University of Connecticut; 2013. [cited 2020 Feb 28]. Available from: https://opencommons.uconn.edu/gs_theses/520.

Council of Science Editors:

Acker JC. Evidence and Implications of Weight Clustering Among Adolescents. [Masters Thesis]. University of Connecticut; 2013. Available from: https://opencommons.uconn.edu/gs_theses/520


California State Polytechnic University – Pomona

20. Zaheer, John. A clustering procedure.

Degree: MS, Mathematics, 2015, California State Polytechnic University – Pomona

 In this paper we propose a procedure to obtain an optimal clustering solution for a given set of data. The main idea that runs through… (more)

Subjects/Keywords: optimal clustering solution

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APA (6th Edition):

Zaheer, J. (2015). A clustering procedure. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/145697

Chicago Manual of Style (16th Edition):

Zaheer, John. “A clustering procedure.” 2015. Masters Thesis, California State Polytechnic University – Pomona. Accessed February 28, 2020. http://hdl.handle.net/10211.3/145697.

MLA Handbook (7th Edition):

Zaheer, John. “A clustering procedure.” 2015. Web. 28 Feb 2020.

Vancouver:

Zaheer J. A clustering procedure. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2015. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10211.3/145697.

Council of Science Editors:

Zaheer J. A clustering procedure. [Masters Thesis]. California State Polytechnic University – Pomona; 2015. Available from: http://hdl.handle.net/10211.3/145697


University of Ottawa

21. Vafa, Khoshaein. Trajectory Clustering Using a Variation of Fréchet Distance .

Degree: 2014, University of Ottawa

 Location-aware devices are one of the examples of variety of systems that can provide trajectory data. The formal definition of a trajectory is the path… (more)

Subjects/Keywords: Frechet; Trajectory Clustering

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APA (6th Edition):

Vafa, K. (2014). Trajectory Clustering Using a Variation of Fréchet Distance . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31485

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):

Vafa, Khoshaein. “Trajectory Clustering Using a Variation of Fréchet Distance .” 2014. Thesis, University of Ottawa. Accessed February 28, 2020. http://hdl.handle.net/10393/31485.

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

MLA Handbook (7th Edition):

Vafa, Khoshaein. “Trajectory Clustering Using a Variation of Fréchet Distance .” 2014. Web. 28 Feb 2020.

Vancouver:

Vafa K. Trajectory Clustering Using a Variation of Fréchet Distance . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10393/31485.

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

Council of Science Editors:

Vafa K. Trajectory Clustering Using a Variation of Fréchet Distance . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31485

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


Stellenbosch University

22. Mabiala, Justin. Analyzing power and cross section distributions of the 12C (p,pα)8Be cluster knockout reaction at an incident energy of 100 MeV.

Degree: Physics, 2010, Stellenbosch University

Thesis (PhD (Physics)) – University of Stellenbosch, 2010.

ENGLISH ABSTRACT: The (p, pα) reaction on 12C was investigated experimentally using polarized incident protons of 100 MeV.… (more)

Subjects/Keywords: Physics; Alpha clustering

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APA (6th Edition):

Mabiala, J. (2010). Analyzing power and cross section distributions of the 12C (p,pα)8Be cluster knockout reaction at an incident energy of 100 MeV. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/4012

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):

Mabiala, Justin. “Analyzing power and cross section distributions of the 12C (p,pα)8Be cluster knockout reaction at an incident energy of 100 MeV.” 2010. Thesis, Stellenbosch University. Accessed February 28, 2020. http://hdl.handle.net/10019.1/4012.

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

MLA Handbook (7th Edition):

Mabiala, Justin. “Analyzing power and cross section distributions of the 12C (p,pα)8Be cluster knockout reaction at an incident energy of 100 MeV.” 2010. Web. 28 Feb 2020.

Vancouver:

Mabiala J. Analyzing power and cross section distributions of the 12C (p,pα)8Be cluster knockout reaction at an incident energy of 100 MeV. [Internet] [Thesis]. Stellenbosch University; 2010. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10019.1/4012.

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

Council of Science Editors:

Mabiala J. Analyzing power and cross section distributions of the 12C (p,pα)8Be cluster knockout reaction at an incident energy of 100 MeV. [Thesis]. Stellenbosch University; 2010. Available from: http://hdl.handle.net/10019.1/4012

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


Vanderbilt University

23. Podgursky, Benjamin T. Practical k-Anonymity on large datasets.

Degree: MS, Computer Science, 2011, Vanderbilt University

 The implicit contract between an individual and a website is that a viewer will remain anonymous unless they choose to identify themselves. On the other… (more)

Subjects/Keywords: clustering; anonymity; privacy

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APA (6th Edition):

Podgursky, B. T. (2011). Practical k-Anonymity on large datasets. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;

Chicago Manual of Style (16th Edition):

Podgursky, Benjamin T. “Practical k-Anonymity on large datasets.” 2011. Masters Thesis, Vanderbilt University. Accessed February 28, 2020. http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;.

MLA Handbook (7th Edition):

Podgursky, Benjamin T. “Practical k-Anonymity on large datasets.” 2011. Web. 28 Feb 2020.

Vancouver:

Podgursky BT. Practical k-Anonymity on large datasets. [Internet] [Masters thesis]. Vanderbilt University; 2011. [cited 2020 Feb 28]. Available from: http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;.

Council of Science Editors:

Podgursky BT. Practical k-Anonymity on large datasets. [Masters Thesis]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;


University of Waterloo

24. Luu, Tuong. Approach to Evaluating Clustering Using Classification Labelled Data.

Degree: 2011, University of Waterloo

 Cluster analysis has been identified as a core task in data mining for which many different algorithms have been proposed. The diversity, on one hand,… (more)

Subjects/Keywords: clustering; empirical study

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APA (6th Edition):

Luu, T. (2011). Approach to Evaluating Clustering Using Classification Labelled Data. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5720

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):

Luu, Tuong. “Approach to Evaluating Clustering Using Classification Labelled Data.” 2011. Thesis, University of Waterloo. Accessed February 28, 2020. http://hdl.handle.net/10012/5720.

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

MLA Handbook (7th Edition):

Luu, Tuong. “Approach to Evaluating Clustering Using Classification Labelled Data.” 2011. Web. 28 Feb 2020.

Vancouver:

Luu T. Approach to Evaluating Clustering Using Classification Labelled Data. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10012/5720.

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

Council of Science Editors:

Luu T. Approach to Evaluating Clustering Using Classification Labelled Data. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/5720

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


University of Technology, Sydney

25. Govendir, BJ. Influences of the accruals generation processes on the accrual anomaly.

Degree: 2011, University of Technology, Sydney

 This thesis re-examines the accrual anomaly identified by Sloan (1996) to determine if this result is a consequence of particular aspects of research design. In… (more)

Subjects/Keywords: Accrual anomaly.; Clustering.

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APA (6th Edition):

Govendir, B. (2011). Influences of the accruals generation processes on the accrual anomaly. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/20321

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):

Govendir, BJ. “Influences of the accruals generation processes on the accrual anomaly.” 2011. Thesis, University of Technology, Sydney. Accessed February 28, 2020. http://hdl.handle.net/10453/20321.

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

MLA Handbook (7th Edition):

Govendir, BJ. “Influences of the accruals generation processes on the accrual anomaly.” 2011. Web. 28 Feb 2020.

Vancouver:

Govendir B. Influences of the accruals generation processes on the accrual anomaly. [Internet] [Thesis]. University of Technology, Sydney; 2011. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10453/20321.

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

Council of Science Editors:

Govendir B. Influences of the accruals generation processes on the accrual anomaly. [Thesis]. University of Technology, Sydney; 2011. Available from: http://hdl.handle.net/10453/20321

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


Rochester Institute of Technology

26. Green, Nathan S. Evolutionary spectral co-clustering.

Degree: Computer Science (GCCIS), 2010, Rochester Institute of Technology

 The field of mining evolving data is relatively new and evolutionary clustering is among the latest in this trend. Presently, there are algorithms for evolutionary… (more)

Subjects/Keywords: Clustering; Co-clustering; Data mining; Evolving data; Spectral clustering

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APA (6th Edition):

Green, N. S. (2010). Evolutionary spectral co-clustering. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/673

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):

Green, Nathan S. “Evolutionary spectral co-clustering.” 2010. Thesis, Rochester Institute of Technology. Accessed February 28, 2020. https://scholarworks.rit.edu/theses/673.

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

MLA Handbook (7th Edition):

Green, Nathan S. “Evolutionary spectral co-clustering.” 2010. Web. 28 Feb 2020.

Vancouver:

Green NS. Evolutionary spectral co-clustering. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Feb 28]. Available from: https://scholarworks.rit.edu/theses/673.

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

Council of Science Editors:

Green NS. Evolutionary spectral co-clustering. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/673

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


University of New South Wales

27. Nguyen, Xuan Vinh. Information theoretic methods for clustering with applications to microarray data.

Degree: Electrical Engineering & Telecommunications, 2010, University of New South Wales

 This thesis addresses selected aspects of cluster analysis, mainly for microarray data, that include: distance measures for clustering, measures for clustering comparison, estimation of the… (more)

Subjects/Keywords: Clustering comparison; Clustering; Alternative clustering; Adjusted mutual information; Information theoretic measure

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APA (6th Edition):

Nguyen, X. V. (2010). Information theoretic methods for clustering with applications to microarray data. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/50275 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9153/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Nguyen, Xuan Vinh. “Information theoretic methods for clustering with applications to microarray data.” 2010. Doctoral Dissertation, University of New South Wales. Accessed February 28, 2020. http://handle.unsw.edu.au/1959.4/50275 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9153/SOURCE02?view=true.

MLA Handbook (7th Edition):

Nguyen, Xuan Vinh. “Information theoretic methods for clustering with applications to microarray data.” 2010. Web. 28 Feb 2020.

Vancouver:

Nguyen XV. Information theoretic methods for clustering with applications to microarray data. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2020 Feb 28]. Available from: http://handle.unsw.edu.au/1959.4/50275 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9153/SOURCE02?view=true.

Council of Science Editors:

Nguyen XV. Information theoretic methods for clustering with applications to microarray data. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/50275 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9153/SOURCE02?view=true


Victoria University of Wellington

28. Wahid, Abdul. Improving Clustering Methods By Exploiting Richness Of Text Data.

Degree: 2016, Victoria University of Wellington

Clustering is an unsupervised machine learning technique, which involves discovering different clusters (groups) of similar objects in unlabeled data and is generally considered to be… (more)

Subjects/Keywords: Text analytics; Text clustering; Multiview text clustering; Search result clustering; Clustering ensemble; Multi-Objective Evolutionary Clustering; Clustering; Text mining; Text clustering methods

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APA (6th Edition):

Wahid, A. (2016). Improving Clustering Methods By Exploiting Richness Of Text Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5336

Chicago Manual of Style (16th Edition):

Wahid, Abdul. “Improving Clustering Methods By Exploiting Richness Of Text Data.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed February 28, 2020. http://hdl.handle.net/10063/5336.

MLA Handbook (7th Edition):

Wahid, Abdul. “Improving Clustering Methods By Exploiting Richness Of Text Data.” 2016. Web. 28 Feb 2020.

Vancouver:

Wahid A. Improving Clustering Methods By Exploiting Richness Of Text Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/10063/5336.

Council of Science Editors:

Wahid A. Improving Clustering Methods By Exploiting Richness Of Text Data. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5336


University of Louisville

29. Meredith, Jason Daron, 1982-. Adaptive constrained clustering with application to dynamic image database categorization and visualization.

Degree: PhD, 2010, University of Louisville

 The advent of larger storage spaces, affordable digital capturing devices, and an ever growing online community dedicated to sharing images has created a great need… (more)

Subjects/Keywords: CBIR; Clustering; Content based image retrieval; Constrained clustering; Image processing; Adaptive clustering

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

APA (6th Edition):

Meredith, Jason Daron, 1. (2010). Adaptive constrained clustering with application to dynamic image database categorization and visualization. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965

Chicago Manual of Style (16th Edition):

Meredith, Jason Daron, 1982-. “Adaptive constrained clustering with application to dynamic image database categorization and visualization.” 2010. Doctoral Dissertation, University of Louisville. Accessed February 28, 2020. 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965.

MLA Handbook (7th Edition):

Meredith, Jason Daron, 1982-. “Adaptive constrained clustering with application to dynamic image database categorization and visualization.” 2010. Web. 28 Feb 2020.

Vancouver:

Meredith, Jason Daron 1. Adaptive constrained clustering with application to dynamic image database categorization and visualization. [Internet] [Doctoral dissertation]. University of Louisville; 2010. [cited 2020 Feb 28]. Available from: 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965.

Council of Science Editors:

Meredith, Jason Daron 1. Adaptive constrained clustering with application to dynamic image database categorization and visualization. [Doctoral Dissertation]. University of Louisville; 2010. Available from: 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965


Universidade do Minho

30. Oliveira, João Ricardo Leite Mota. Spatio-temporal SNN : integrating time and space in the clustering process .

Degree: 2013, Universidade do Minho

 Spatio-temporal clustering is a new subfield of data mining that is increasingly gaining scientific attention due to the technical advances of location-based or environmental devices… (more)

Subjects/Keywords: Clustering; Density-based clustering; Spatio-temporal data; Distance function; Spatio-temporal clustering

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

APA (6th Edition):

Oliveira, J. R. L. M. (2013). Spatio-temporal SNN : integrating time and space in the clustering process . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/29459

Chicago Manual of Style (16th Edition):

Oliveira, João Ricardo Leite Mota. “Spatio-temporal SNN : integrating time and space in the clustering process .” 2013. Masters Thesis, Universidade do Minho. Accessed February 28, 2020. http://hdl.handle.net/1822/29459.

MLA Handbook (7th Edition):

Oliveira, João Ricardo Leite Mota. “Spatio-temporal SNN : integrating time and space in the clustering process .” 2013. Web. 28 Feb 2020.

Vancouver:

Oliveira JRLM. Spatio-temporal SNN : integrating time and space in the clustering process . [Internet] [Masters thesis]. Universidade do Minho; 2013. [cited 2020 Feb 28]. Available from: http://hdl.handle.net/1822/29459.

Council of Science Editors:

Oliveira JRLM. Spatio-temporal SNN : integrating time and space in the clustering process . [Masters Thesis]. Universidade do Minho; 2013. Available from: http://hdl.handle.net/1822/29459

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