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You searched for subject:( Spectral clustering). Showing records 1 – 30 of 87 total matches.

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Universidad de Cantabria

1. Vaerenbergh, Steven van. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals.

Degree: 2010, Universidad de Cantabria

 RESUMEN: En la última década, los métodos kernel (métodos núcleo) han demostrado ser técnicas muy eficaces en la resolución de problemas no lineales. Parte de… (more)

Subjects/Keywords: Spectral clustering

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

APA (6th Edition):

Vaerenbergh, S. v. (2010). Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals. (Doctoral Dissertation). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/1397

Chicago Manual of Style (16th Edition):

Vaerenbergh, Steven van. “Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals.” 2010. Doctoral Dissertation, Universidad de Cantabria. Accessed July 14, 2020. http://hdl.handle.net/10902/1397.

MLA Handbook (7th Edition):

Vaerenbergh, Steven van. “Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals.” 2010. Web. 14 Jul 2020.

Vancouver:

Vaerenbergh Sv. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals. [Internet] [Doctoral dissertation]. Universidad de Cantabria; 2010. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10902/1397.

Council of Science Editors:

Vaerenbergh Sv. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals. [Doctoral Dissertation]. Universidad de Cantabria; 2010. Available from: http://hdl.handle.net/10902/1397


Rochester Institute of Technology

2. 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 July 14, 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. 14 Jul 2020.

Vancouver:

Green NS. Evolutionary spectral co-clustering. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Jul 14]. 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


North Carolina State University

3. Liu, Ning. Spectral Clustering for Graphs and Markov Chains.

Degree: PhD, Computer Science, 2010, North Carolina State University

Spectral graph partitioning based on spectral theory has become a popular clustering method over the last few years. The starting point is the work of… (more)

Subjects/Keywords: spectral clustering; graph partitioning; markov chains; eigenvalue

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APA (6th Edition):

Liu, N. (2010). Spectral Clustering for Graphs and Markov Chains. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4886

Chicago Manual of Style (16th Edition):

Liu, Ning. “Spectral Clustering for Graphs and Markov Chains.” 2010. Doctoral Dissertation, North Carolina State University. Accessed July 14, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4886.

MLA Handbook (7th Edition):

Liu, Ning. “Spectral Clustering for Graphs and Markov Chains.” 2010. Web. 14 Jul 2020.

Vancouver:

Liu N. Spectral Clustering for Graphs and Markov Chains. [Internet] [Doctoral dissertation]. North Carolina State University; 2010. [cited 2020 Jul 14]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4886.

Council of Science Editors:

Liu N. Spectral Clustering for Graphs and Markov Chains. [Doctoral Dissertation]. North Carolina State University; 2010. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4886


Virginia Tech

4. Bellam, Venkata Pavan Kumar. Efficient Community Detection for Large Scale Networks via Sub-sampling.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

 Many real-world systems can be represented as network-graphs. Some of the networks have an inherent community structure based on interactions. The problem of identifying this… (more)

Subjects/Keywords: Spectral clustering; Extreme points; Sub-sampling; PABM

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APA (6th Edition):

Bellam, V. P. K. (2018). Efficient Community Detection for Large Scale Networks via Sub-sampling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81862

Chicago Manual of Style (16th Edition):

Bellam, Venkata Pavan Kumar. “Efficient Community Detection for Large Scale Networks via Sub-sampling.” 2018. Masters Thesis, Virginia Tech. Accessed July 14, 2020. http://hdl.handle.net/10919/81862.

MLA Handbook (7th Edition):

Bellam, Venkata Pavan Kumar. “Efficient Community Detection for Large Scale Networks via Sub-sampling.” 2018. Web. 14 Jul 2020.

Vancouver:

Bellam VPK. Efficient Community Detection for Large Scale Networks via Sub-sampling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10919/81862.

Council of Science Editors:

Bellam VPK. Efficient Community Detection for Large Scale Networks via Sub-sampling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81862


University of Illinois – Chicago

5. Cole, Samuel. An Iterative Spectral Approach to Recovering Planted Partitions.

Degree: 2018, University of Illinois – Chicago

 In the planted partition problem, the n vertices of a random graph are partitioned into k "clusters," and edges between vertices in the same cluster… (more)

Subjects/Keywords: Planted partition; Clustering; Random graphs; Spectral algorithms

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APA (6th Edition):

Cole, S. (2018). An Iterative Spectral Approach to Recovering Planted Partitions. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22704

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):

Cole, Samuel. “An Iterative Spectral Approach to Recovering Planted Partitions.” 2018. Thesis, University of Illinois – Chicago. Accessed July 14, 2020. http://hdl.handle.net/10027/22704.

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

MLA Handbook (7th Edition):

Cole, Samuel. “An Iterative Spectral Approach to Recovering Planted Partitions.” 2018. Web. 14 Jul 2020.

Vancouver:

Cole S. An Iterative Spectral Approach to Recovering Planted Partitions. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10027/22704.

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

Council of Science Editors:

Cole S. An Iterative Spectral Approach to Recovering Planted Partitions. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/22704

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


Virginia Commonwealth University

6. Cresswell, Kellen Garrison. Spectral methods for the detection and characterization of Topologically Associated Domains.

Degree: PhD, Biostatistics, 2019, Virginia Commonwealth University

  The three-dimensional (3D) structure of the genome plays a crucial role in gene expression regulation. Chromatin conformation capture technologies (Hi-C) have revealed that the… (more)

Subjects/Keywords: Genomics; Spectral; Genetics; Biostatistics; Statistical; Clustering; Biostatistics

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APA (6th Edition):

Cresswell, K. G. (2019). Spectral methods for the detection and characterization of Topologically Associated Domains. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/6100

Chicago Manual of Style (16th Edition):

Cresswell, Kellen Garrison. “Spectral methods for the detection and characterization of Topologically Associated Domains.” 2019. Doctoral Dissertation, Virginia Commonwealth University. Accessed July 14, 2020. https://scholarscompass.vcu.edu/etd/6100.

MLA Handbook (7th Edition):

Cresswell, Kellen Garrison. “Spectral methods for the detection and characterization of Topologically Associated Domains.” 2019. Web. 14 Jul 2020.

Vancouver:

Cresswell KG. Spectral methods for the detection and characterization of Topologically Associated Domains. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2019. [cited 2020 Jul 14]. Available from: https://scholarscompass.vcu.edu/etd/6100.

Council of Science Editors:

Cresswell KG. Spectral methods for the detection and characterization of Topologically Associated Domains. [Doctoral Dissertation]. Virginia Commonwealth University; 2019. Available from: https://scholarscompass.vcu.edu/etd/6100


University of Minnesota

7. Atev, Stefan Emilov. Using asymmetry in the spectral clustering of trajectories.

Degree: PhD, 2011, University of Minnesota

 Spatial trajectories, for example those of vehicles passing through a traffic intersection, are of interest in many data collection applications since they capture a lot… (more)

Subjects/Keywords: Asymmetric; Clustering; Spectral; Trajectories; Computer Science

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APA (6th Edition):

Atev, S. E. (2011). Using asymmetry in the spectral clustering of trajectories. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/112921

Chicago Manual of Style (16th Edition):

Atev, Stefan Emilov. “Using asymmetry in the spectral clustering of trajectories.” 2011. Doctoral Dissertation, University of Minnesota. Accessed July 14, 2020. http://purl.umn.edu/112921.

MLA Handbook (7th Edition):

Atev, Stefan Emilov. “Using asymmetry in the spectral clustering of trajectories.” 2011. Web. 14 Jul 2020.

Vancouver:

Atev SE. Using asymmetry in the spectral clustering of trajectories. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Jul 14]. Available from: http://purl.umn.edu/112921.

Council of Science Editors:

Atev SE. Using asymmetry in the spectral clustering of trajectories. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/112921


University of Illinois – Urbana-Champaign

8. Satpathi, Siddhartha. Perfect clustering from pairwise comparisons.

Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 We consider a pairwise comparisons model with n users and m items. Each user is shown a few pairs of items, and when a pair… (more)

Subjects/Keywords: Pairwise comparison; Spectral clustering; Inference; Ranking

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APA (6th Edition):

Satpathi, S. (2017). Perfect clustering from pairwise comparisons. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99229

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):

Satpathi, Siddhartha. “Perfect clustering from pairwise comparisons.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed July 14, 2020. http://hdl.handle.net/2142/99229.

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

MLA Handbook (7th Edition):

Satpathi, Siddhartha. “Perfect clustering from pairwise comparisons.” 2017. Web. 14 Jul 2020.

Vancouver:

Satpathi S. Perfect clustering from pairwise comparisons. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2142/99229.

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

Council of Science Editors:

Satpathi S. Perfect clustering from pairwise comparisons. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99229

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


Texas Tech University

9. Hill, Jason E. Application of Information Theoretic Unsupervised Learning to Medical Image Analysis.

Degree: 2013, Texas Tech University

 Automated segmentation of medical images is a challenging problem. The number of segments in a medical image may be unknown a priori, due to the… (more)

Subjects/Keywords: Unsupervised learning; Medical images; Spectral clustering.

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APA (6th Edition):

Hill, J. E. (2013). Application of Information Theoretic Unsupervised Learning to Medical Image Analysis. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/48865

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):

Hill, Jason E. “Application of Information Theoretic Unsupervised Learning to Medical Image Analysis.” 2013. Thesis, Texas Tech University. Accessed July 14, 2020. http://hdl.handle.net/2346/48865.

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

MLA Handbook (7th Edition):

Hill, Jason E. “Application of Information Theoretic Unsupervised Learning to Medical Image Analysis.” 2013. Web. 14 Jul 2020.

Vancouver:

Hill JE. Application of Information Theoretic Unsupervised Learning to Medical Image Analysis. [Internet] [Thesis]. Texas Tech University; 2013. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2346/48865.

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

Council of Science Editors:

Hill JE. Application of Information Theoretic Unsupervised Learning to Medical Image Analysis. [Thesis]. Texas Tech University; 2013. Available from: http://hdl.handle.net/2346/48865

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


Iowa State University

10. Liu, Sijia. Novel data clustering methods and applications.

Degree: 2011, Iowa State University

 The need to interpret and extract possible inferences from high-dimensional data sets has led over the past decades to the development of dimensionality reduction and… (more)

Subjects/Keywords: face recognition; fuzzy clustering methods; random walks; spectral clustering; Mathematics

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APA (6th Edition):

Liu, S. (2011). Novel data clustering methods and applications. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10206

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):

Liu, Sijia. “Novel data clustering methods and applications.” 2011. Thesis, Iowa State University. Accessed July 14, 2020. https://lib.dr.iastate.edu/etd/10206.

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

MLA Handbook (7th Edition):

Liu, Sijia. “Novel data clustering methods and applications.” 2011. Web. 14 Jul 2020.

Vancouver:

Liu S. Novel data clustering methods and applications. [Internet] [Thesis]. Iowa State University; 2011. [cited 2020 Jul 14]. Available from: https://lib.dr.iastate.edu/etd/10206.

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

Council of Science Editors:

Liu S. Novel data clustering methods and applications. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/10206

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


University of Minnesota

11. Wang, Xu. Searching, Clustering and Regression on non-Euclidean Spaces.

Degree: PhD, Mathematics, 2015, University of Minnesota

 This dissertation considers three common tasks (e.g., searching, clustering, regression) over Riemannian spaces. The first task considers the problem of efficiently deciding which of a… (more)

Subjects/Keywords: Bayesian; Clustering; Fast search; Manifold; Nonparametric regression; Spectral clustering

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APA (6th Edition):

Wang, X. (2015). Searching, Clustering and Regression on non-Euclidean Spaces. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175554

Chicago Manual of Style (16th Edition):

Wang, Xu. “Searching, Clustering and Regression on non-Euclidean Spaces.” 2015. Doctoral Dissertation, University of Minnesota. Accessed July 14, 2020. http://hdl.handle.net/11299/175554.

MLA Handbook (7th Edition):

Wang, Xu. “Searching, Clustering and Regression on non-Euclidean Spaces.” 2015. Web. 14 Jul 2020.

Vancouver:

Wang X. Searching, Clustering and Regression on non-Euclidean Spaces. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/11299/175554.

Council of Science Editors:

Wang X. Searching, Clustering and Regression on non-Euclidean Spaces. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175554


Georgia State University

12. Reizer, Gabriella v. Stability Selection of the Number of Clusters.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  Selecting the number of clusters is one of the greatest challenges in clustering analysis. In this thesis, we propose a variety of stability selection… (more)

Subjects/Keywords: Consistency; Cross validation; Hierarchical clustering; Instability; k-means clustering; Spectral clustering; Stability; Mathematics

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APA (6th Edition):

Reizer, G. v. (2011). Stability Selection of the Number of Clusters. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/98

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):

Reizer, Gabriella v. “Stability Selection of the Number of Clusters.” 2011. Thesis, Georgia State University. Accessed July 14, 2020. https://scholarworks.gsu.edu/math_theses/98.

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

MLA Handbook (7th Edition):

Reizer, Gabriella v. “Stability Selection of the Number of Clusters.” 2011. Web. 14 Jul 2020.

Vancouver:

Reizer Gv. Stability Selection of the Number of Clusters. [Internet] [Thesis]. Georgia State University; 2011. [cited 2020 Jul 14]. Available from: https://scholarworks.gsu.edu/math_theses/98.

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

Council of Science Editors:

Reizer Gv. Stability Selection of the Number of Clusters. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/98

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


Universidade Nova

13. Felizardo, Rui Miguel Meireles. A study on parallel versus sequential relational fuzzy clustering methods.

Degree: 2011, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Relational Fuzzy Clustering is a recent growing area of study. New algorithms have been developed,as… (more)

Subjects/Keywords: Relational data; Relational fuzzy clustering; Fuzzy additive spectral clustering; Number of clusters; Validation indices

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APA (6th Edition):

Felizardo, R. M. M. (2011). A study on parallel versus sequential relational fuzzy clustering methods. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663

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):

Felizardo, Rui Miguel Meireles. “A study on parallel versus sequential relational fuzzy clustering methods.” 2011. Thesis, Universidade Nova. Accessed July 14, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663.

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

MLA Handbook (7th Edition):

Felizardo, Rui Miguel Meireles. “A study on parallel versus sequential relational fuzzy clustering methods.” 2011. Web. 14 Jul 2020.

Vancouver:

Felizardo RMM. A study on parallel versus sequential relational fuzzy clustering methods. [Internet] [Thesis]. Universidade Nova; 2011. [cited 2020 Jul 14]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663.

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

Council of Science Editors:

Felizardo RMM. A study on parallel versus sequential relational fuzzy clustering methods. [Thesis]. Universidade Nova; 2011. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5663

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

14. Vuppala, Ranjith Kumar. Spectral Clustering for Segmentation of Fingerprint Images.

Degree: 2017, , Department of Applied Signal Processing

  Fingerprint recognition systems are one of the oldest biometric recognition systems, which are under constant development. Presence of noise in fingerprint severely affects performance… (more)

Subjects/Keywords: Segmentation; Clustering; Fingerprints; K-means; Spectral Clustering; Variance; Image gradient; Signal Processing; Signalbehandling

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APA (6th Edition):

Vuppala, R. K. (2017). Spectral Clustering for Segmentation of Fingerprint Images. (Thesis). , Department of Applied Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

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):

Vuppala, Ranjith Kumar. “Spectral Clustering for Segmentation of Fingerprint Images.” 2017. Thesis, , Department of Applied Signal Processing. Accessed July 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824.

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

MLA Handbook (7th Edition):

Vuppala, Ranjith Kumar. “Spectral Clustering for Segmentation of Fingerprint Images.” 2017. Web. 14 Jul 2020.

Vancouver:

Vuppala RK. Spectral Clustering for Segmentation of Fingerprint Images. [Internet] [Thesis]. , Department of Applied Signal Processing; 2017. [cited 2020 Jul 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824.

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

Council of Science Editors:

Vuppala RK. Spectral Clustering for Segmentation of Fingerprint Images. [Thesis]. , Department of Applied Signal Processing; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

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


Duquesne University

15. Cotter, Steven. Improving Search Results with Automated Summarization and Sentence Clustering.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 Have you ever searched for something on the web and been overloaded with irrelevant results? Many search engines tend to cast a very wide net… (more)

Subjects/Keywords: Automatic summarization; Extractive summarization; Search engine precision; Sentence clustering; Spectral clustering; TextRank

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APA (6th Edition):

Cotter, S. (2012). Improving Search Results with Automated Summarization and Sentence Clustering. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/434

Chicago Manual of Style (16th Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Masters Thesis, Duquesne University. Accessed July 14, 2020. https://dsc.duq.edu/etd/434.

MLA Handbook (7th Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Web. 14 Jul 2020.

Vancouver:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2020 Jul 14]. Available from: https://dsc.duq.edu/etd/434.

Council of Science Editors:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/434


University of California – Berkeley

16. Schiebinger, Geoffrey. Sparse Inverse Problems: The Mathematics of Precision Measurement.

Degree: Statistics, 2016, University of California – Berkeley

 The interplay between theory and experiment is the key to progress in the natural sciences. This thesis develops the mathematics of distilling knowledge from measurement.… (more)

Subjects/Keywords: Statistics; compressed sensing; inverse problem; nonparametric mixtures; sparsity; spectral clustering; superresolution

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APA (6th Edition):

Schiebinger, G. (2016). Sparse Inverse Problems: The Mathematics of Precision Measurement. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/6w84m619

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):

Schiebinger, Geoffrey. “Sparse Inverse Problems: The Mathematics of Precision Measurement.” 2016. Thesis, University of California – Berkeley. Accessed July 14, 2020. http://www.escholarship.org/uc/item/6w84m619.

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

MLA Handbook (7th Edition):

Schiebinger, Geoffrey. “Sparse Inverse Problems: The Mathematics of Precision Measurement.” 2016. Web. 14 Jul 2020.

Vancouver:

Schiebinger G. Sparse Inverse Problems: The Mathematics of Precision Measurement. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2020 Jul 14]. Available from: http://www.escholarship.org/uc/item/6w84m619.

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

Council of Science Editors:

Schiebinger G. Sparse Inverse Problems: The Mathematics of Precision Measurement. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/6w84m619

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


University of Alberta

17. Wang, Jiemin. A Measure of Perceptual Aliasing in Image Descriptors.

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

 This thesis is concerned with a measure of perceptual aliasing in image descriptors. Perceptual aliasing occurs when the one-to-one mapping relations between world states (objects)… (more)

Subjects/Keywords: discriminating power; performance metric; spectral clustering; image descriptors; perceptual aliasing

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

APA (6th Edition):

Wang, J. (2013). A Measure of Perceptual Aliasing in Image Descriptors. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/ww72bb89w

Chicago Manual of Style (16th Edition):

Wang, Jiemin. “A Measure of Perceptual Aliasing in Image Descriptors.” 2013. Masters Thesis, University of Alberta. Accessed July 14, 2020. https://era.library.ualberta.ca/files/ww72bb89w.

MLA Handbook (7th Edition):

Wang, Jiemin. “A Measure of Perceptual Aliasing in Image Descriptors.” 2013. Web. 14 Jul 2020.

Vancouver:

Wang J. A Measure of Perceptual Aliasing in Image Descriptors. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Jul 14]. Available from: https://era.library.ualberta.ca/files/ww72bb89w.

Council of Science Editors:

Wang J. A Measure of Perceptual Aliasing in Image Descriptors. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/ww72bb89w


NSYSU

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

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 July 14, 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. 14 Jul 2020.

Vancouver:

Wu F. Study on clustering of data mining for friendship network. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Jul 14]. 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


University of Georgia

19. Joshi, Ankita Prashant. Open source distributed spectral clustering.

Degree: MS, Artificial Intelligence, 2017, University of Georgia

 In this thesis, we propose an approximation of the Spectral Clustering algorithm to cluster high-dimensional large datasets. Spectral Clustering is limited in its application as… (more)

Subjects/Keywords: Spectral Clustering; Distributed computing; Apache Spark; Approximate Nearest Neighbors.

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

APA (6th Edition):

Joshi, A. P. (2017). Open source distributed spectral clustering. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37798

Chicago Manual of Style (16th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Masters Thesis, University of Georgia. Accessed July 14, 2020. http://hdl.handle.net/10724/37798.

MLA Handbook (7th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Web. 14 Jul 2020.

Vancouver:

Joshi AP. Open source distributed spectral clustering. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10724/37798.

Council of Science Editors:

Joshi AP. Open source distributed spectral clustering. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37798


Northeastern University

20. Niu, Donglin. Multiple alternative clusterings and dimensionality reduction.

Degree: PhD, Department of Electrical and Computer Engineering, 2012, Northeastern University

Clustering is the process of grouping objects based on some notion of similarity. It is commonly applied for exploratory data analysis, segmentation, preprocessing and data… (more)

Subjects/Keywords: Clustering; Numerical Optimization; Spectral Method; Electrical and Computer Engineering

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

APA (6th Edition):

Niu, D. (2012). Multiple alternative clusterings and dimensionality reduction. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20002768

Chicago Manual of Style (16th Edition):

Niu, Donglin. “Multiple alternative clusterings and dimensionality reduction.” 2012. Doctoral Dissertation, Northeastern University. Accessed July 14, 2020. http://hdl.handle.net/2047/d20002768.

MLA Handbook (7th Edition):

Niu, Donglin. “Multiple alternative clusterings and dimensionality reduction.” 2012. Web. 14 Jul 2020.

Vancouver:

Niu D. Multiple alternative clusterings and dimensionality reduction. [Internet] [Doctoral dissertation]. Northeastern University; 2012. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2047/d20002768.

Council of Science Editors:

Niu D. Multiple alternative clusterings and dimensionality reduction. [Doctoral Dissertation]. Northeastern University; 2012. Available from: http://hdl.handle.net/2047/d20002768


Rice University

21. Mikesell, Derek Justin. A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models.

Degree: MA, Engineering, 2016, Rice University

 Given a network G=(V,E), consider the problem of selecting a subset of nodes, A, of a fixed size, k, such that the sum expected walk… (more)

Subjects/Keywords: Graph Theory; Hitting Set; Consensus Model; Spectral; Clustering

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

APA (6th Edition):

Mikesell, D. J. (2016). A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/95559

Chicago Manual of Style (16th Edition):

Mikesell, Derek Justin. “A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models.” 2016. Masters Thesis, Rice University. Accessed July 14, 2020. http://hdl.handle.net/1911/95559.

MLA Handbook (7th Edition):

Mikesell, Derek Justin. “A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models.” 2016. Web. 14 Jul 2020.

Vancouver:

Mikesell DJ. A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models. [Internet] [Masters thesis]. Rice University; 2016. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/1911/95559.

Council of Science Editors:

Mikesell DJ. A Spectral Decomposition Heuristic for Near Optimal Capture Sets In Consensus Models. [Masters Thesis]. Rice University; 2016. Available from: http://hdl.handle.net/1911/95559


Rochester Institute of Technology

22. Meinhold, Renee T. Robust Path-based Image Segmentation Using Superpixel Denoising.

Degree: MS, School of Mathematical Sciences (COS), 2018, Rochester Institute of Technology

Clustering is the important task of partitioning data into groups with similar characteristics, with one category being spectral clustering where data points are represented… (more)

Subjects/Keywords: Image segmentation; Out-of-sample extension; Path-based distance; Spectral clustering

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APA (6th Edition):

Meinhold, R. T. (2018). Robust Path-based Image Segmentation Using Superpixel Denoising. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9893

Chicago Manual of Style (16th Edition):

Meinhold, Renee T. “Robust Path-based Image Segmentation Using Superpixel Denoising.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed July 14, 2020. https://scholarworks.rit.edu/theses/9893.

MLA Handbook (7th Edition):

Meinhold, Renee T. “Robust Path-based Image Segmentation Using Superpixel Denoising.” 2018. Web. 14 Jul 2020.

Vancouver:

Meinhold RT. Robust Path-based Image Segmentation Using Superpixel Denoising. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2020 Jul 14]. Available from: https://scholarworks.rit.edu/theses/9893.

Council of Science Editors:

Meinhold RT. Robust Path-based Image Segmentation Using Superpixel Denoising. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9893


Georgia Tech

23. 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 July 14, 2020. http://hdl.handle.net/1853/54972.

MLA Handbook (7th Edition):

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Web. 14 Jul 2020.

Vancouver:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Jul 14]. 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 Edinburgh

24. Brocklebank, Sean. Inquiry into the nature and causes of individual differences in economics.

Degree: PhD, 2012, University of Edinburgh

 The thesis contains four chapters on the structure and predictability of individual differences Chapter 1. Re-analyses data from Holt and Laury's (2002) risk aversion experiments.… (more)

Subjects/Keywords: 330.015195; personality; big five; FFM; NEO; spectral clustering; social preferences

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APA (6th Edition):

Brocklebank, S. (2012). Inquiry into the nature and causes of individual differences in economics. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/6281

Chicago Manual of Style (16th Edition):

Brocklebank, Sean. “Inquiry into the nature and causes of individual differences in economics.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed July 14, 2020. http://hdl.handle.net/1842/6281.

MLA Handbook (7th Edition):

Brocklebank, Sean. “Inquiry into the nature and causes of individual differences in economics.” 2012. Web. 14 Jul 2020.

Vancouver:

Brocklebank S. Inquiry into the nature and causes of individual differences in economics. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/1842/6281.

Council of Science Editors:

Brocklebank S. Inquiry into the nature and causes of individual differences in economics. [Doctoral Dissertation]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/6281

25. Åberg, Lina. Machine learning for classifying the early stage of Osteoarthritis based on biological data .

Degree: Chalmers tekniska högskola / Institutionen för fysik, 2020, Chalmers University of Technology

 Osteoarthritis, or OA, is a chronic joint disease and the most common form of arthritis. It is a very common disease in human athletes, but… (more)

Subjects/Keywords: machine learning; engineering; biomarkers; decision support system; random forest; spectral clustering

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

APA (6th Edition):

Åberg, L. (2020). Machine learning for classifying the early stage of Osteoarthritis based on biological data . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300831

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):

Åberg, Lina. “Machine learning for classifying the early stage of Osteoarthritis based on biological data .” 2020. Thesis, Chalmers University of Technology. Accessed July 14, 2020. http://hdl.handle.net/20.500.12380/300831.

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

MLA Handbook (7th Edition):

Åberg, Lina. “Machine learning for classifying the early stage of Osteoarthritis based on biological data .” 2020. Web. 14 Jul 2020.

Vancouver:

Åberg L. Machine learning for classifying the early stage of Osteoarthritis based on biological data . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/20.500.12380/300831.

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

Council of Science Editors:

Åberg L. Machine learning for classifying the early stage of Osteoarthritis based on biological data . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/300831

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

26. Μαυροειδής, Δημήτριος. Stability of spectral learning algorithms: theory, methodologies and applications.

Degree: 2009, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών

 In Data Mining an important research problem is the identification and analysis of theoretical properties that characterize and explain the behavior of learning algorithms. Based… (more)

Subjects/Keywords: Αλγόριθμοι, Φασματικοί; Συσταδοποίηση; Ευστάθεια φασματικών αλγορίθμων; Ημιεπιβλεπώμενη μάθηση; Επιτάχυνση της μεθόδου δυνάμεων; Συσταδοποίηση, Κατανεμημένη; Spectral algorithms; Spectral clustering; Stability of spectral algorithms; Spectral ordering; Semisupervised spectral clustering; Accelerating the power maethod; Distributed clustering

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APA (6th Edition):

Μαυροειδής, . . (2009). Stability of spectral learning algorithms: theory, methodologies and applications. (Thesis). Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Retrieved from http://hdl.handle.net/10442/hedi/17216

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):

Μαυροειδής, Δημήτριος. “Stability of spectral learning algorithms: theory, methodologies and applications.” 2009. Thesis, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Accessed July 14, 2020. http://hdl.handle.net/10442/hedi/17216.

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

MLA Handbook (7th Edition):

Μαυροειδής, Δημήτριος. “Stability of spectral learning algorithms: theory, methodologies and applications.” 2009. Web. 14 Jul 2020.

Vancouver:

Μαυροειδής . Stability of spectral learning algorithms: theory, methodologies and applications. [Internet] [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10442/hedi/17216.

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

Council of Science Editors:

Μαυροειδής . Stability of spectral learning algorithms: theory, methodologies and applications. [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. Available from: http://hdl.handle.net/10442/hedi/17216

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


KTH

27. Gustavsson, Hanna. Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control.

Degree: Optimization and Systems Theory, 2019, KTH

The aim of this thesis is to examine clustering based outlier detection algorithms on their ability to detect abnormal events in flight traffic. A… (more)

Subjects/Keywords: Applied Mathematics; Clustering; Spectral Clustering; Graph Theory; GMM; Outlier Detection; Tillämpad matematik; Klustering; Spektralklustering; grafteori; GMM; anomalidetektering; Mathematics; Matematik

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

APA (6th Edition):

Gustavsson, H. (2019). Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215

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):

Gustavsson, Hanna. “Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control.” 2019. Thesis, KTH. Accessed July 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215.

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

MLA Handbook (7th Edition):

Gustavsson, Hanna. “Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control.” 2019. Web. 14 Jul 2020.

Vancouver:

Gustavsson H. Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control. [Internet] [Thesis]. KTH; 2019. [cited 2020 Jul 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215.

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

Council of Science Editors:

Gustavsson H. Clustering Based Outlier Detection for Improved Situation Awareness within Air Traffic Control. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264215

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

28. Fender, Alexandre. Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics.

Degree: Docteur es, Informatique, 2017, Université Paris-Saclay (ComUE)

Les graphes, ou réseaux, sont des structures mathématiques représentant des relations entre des éléments. Ces systèmes peuvent être analysés dans le but d’extraire des informations… (more)

Subjects/Keywords: Méthodes numériques; Science de données; GPU; Pagerank; Groupement spectral; Parallélisme; Numerical methods,; Data science; GPU; Pagerank; Spectral clustering; Parallelism

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APA (6th Edition):

Fender, A. (2017). Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLV069

Chicago Manual of Style (16th Edition):

Fender, Alexandre. “Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed July 14, 2020. http://www.theses.fr/2017SACLV069.

MLA Handbook (7th Edition):

Fender, Alexandre. “Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics.” 2017. Web. 14 Jul 2020.

Vancouver:

Fender A. Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2020 Jul 14]. Available from: http://www.theses.fr/2017SACLV069.

Council of Science Editors:

Fender A. Solutions parallèles pour les grands problèmes de valeurs propres issus de l'analyse de graphe : Parallel solutions for large-scale eigenvalue problems arising in graph analytics. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLV069


Indian Institute of Science

29. Pai, Nithish. A GPU Accelerated Tensor Spectral Method for Subspace Clustering.

Degree: 2016, Indian Institute of Science

 In this thesis we consider the problem of clustering the data lying in a union of subspaces using spectral methods. Though the data generated may… (more)

Subjects/Keywords: Subspace Clustering; Tensors Spectral Method; Hypergraphs and Tensors; Uniform Hypergraph Partitioning Algorithm; Tensor Factorization; Spectral Clustering based Algorithms; GPU Accelerated Algorithm; GPU Computing; Computer Science

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

APA (6th Edition):

Pai, N. (2016). A GPU Accelerated Tensor Spectral Method for Subspace Clustering. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf

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

Chicago Manual of Style (16th Edition):

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Thesis, Indian Institute of Science. Accessed July 14, 2020. http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf.

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

MLA Handbook (7th Edition):

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Web. 14 Jul 2020.

Vancouver:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Internet] [Thesis]. Indian Institute of Science; 2016. [cited 2020 Jul 14]. Available from: http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf.

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

Council of Science Editors:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Thesis]. Indian Institute of Science; 2016. Available from: http://etd.iisc.ernet.in/handle/2005/2837 ; http://etd.ncsi.iisc.ernet.in/abstracts/3688/G27278-Abs.pdf

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


Indian Institute of Science

30. Pai, Nithish. A GPU Accelerated Tensor Spectral Method for Subspace Clustering.

Degree: 2016, Indian Institute of Science

 In this thesis we consider the problem of clustering the data lying in a union of subspaces using spectral methods. Though the data generated may… (more)

Subjects/Keywords: Subspace Clustering; Tensors Spectral Method; Hypergraphs and Tensors; Uniform Hypergraph Partitioning Algorithm; Tensor Factorization; Spectral Clustering based Algorithms; GPU Accelerated Algorithm; GPU Computing; Computer Science

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APA (6th Edition):

Pai, N. (2016). A GPU Accelerated Tensor Spectral Method for Subspace Clustering. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2837

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):

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Thesis, Indian Institute of Science. Accessed July 14, 2020. http://hdl.handle.net/2005/2837.

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

MLA Handbook (7th Edition):

Pai, Nithish. “A GPU Accelerated Tensor Spectral Method for Subspace Clustering.” 2016. Web. 14 Jul 2020.

Vancouver:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Internet] [Thesis]. Indian Institute of Science; 2016. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/2005/2837.

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

Council of Science Editors:

Pai N. A GPU Accelerated Tensor Spectral Method for Subspace Clustering. [Thesis]. Indian Institute of Science; 2016. Available from: http://hdl.handle.net/2005/2837

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

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