Cluster algebra

Results: 174



#Item
61Learning Segmentation by Random Walks Marina Meila and Jianbo Shi Carnegie Mellon University fmmp,[removed]  Abstract

Learning Segmentation by Random Walks Marina Meila and Jianbo Shi Carnegie Mellon University fmmp,[removed] Abstract

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-20 23:30:45
62Foundations of Data Science  1 John Hopcroft Ravindran Kannan

Foundations of Data Science 1 John Hopcroft Ravindran Kannan

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Source URL: research.microsoft.com

Language: English - Date: 2014-08-25 17:40:07
63IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 61, NO. 2, FEBRUARYRandomized Dimensionality Reduction for k-Means Clustering

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 61, NO. 2, FEBRUARYRandomized Dimensionality Reduction for k-Means Clustering

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2015-03-03 12:10:42
646.867 Machine learning, lecture 18 (Jaakkola)  1 Lecture topics: • Spectral clustering, random walks and Markov chains

6.867 Machine learning, lecture 18 (Jaakkola) 1 Lecture topics: • Spectral clustering, random walks and Markov chains

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Source URL: ocw.mit.edu

Language: English - Date: 2015-03-15 16:36:56
65Clustering with Normalized Cuts is Clustering with a Hyperplane Ali Rahimi1 and Ben Recht2 1  MIT Computer Science and Artificial Intelligence Laboratory,

Clustering with Normalized Cuts is Clustering with a Hyperplane Ali Rahimi1 and Ben Recht2 1 MIT Computer Science and Artificial Intelligence Laboratory,

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Source URL: cba.mit.edu

Language: English - Date: 2011-12-13 18:32:02
66CLUSTER ALGEBRAS AND CLUSTER COMBINATORICS Summer Graduate Workshop, MSRI August 1–12, 2011 ´ ski, Elements of the representation theory of asso[ASS06] I. Assem, D. Simson, and A. Skowron ciative algebras, 1: Techniqu

CLUSTER ALGEBRAS AND CLUSTER COMBINATORICS Summer Graduate Workshop, MSRI August 1–12, 2011 ´ ski, Elements of the representation theory of asso[ASS06] I. Assem, D. Simson, and A. Skowron ciative algebras, 1: Techniqu

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Source URL: library.msri.org

Language: English - Date: 2011-08-01 19:08:37
67Iterative Residual Rescaling: An Analysis and Generalization of LSI Rie Kubota Ando and Lillian Lee Department of Computer Science Cornell University Ithaca, NY[removed]

Iterative Residual Rescaling: An Analysis and Generalization of LSI Rie Kubota Ando and Lillian Lee Department of Computer Science Cornell University Ithaca, NY[removed]

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Source URL: www.cs.cornell.edu

Language: English - Date: 2001-09-17 17:51:08
68Learning Taxonomies by Dependence Maximization  Matthew B. Blaschko Arthur Gretton Max Planck Institute for Biological Cybernetics Spemannstr. 38

Learning Taxonomies by Dependence Maximization Matthew B. Blaschko Arthur Gretton Max Planck Institute for Biological Cybernetics Spemannstr. 38

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Source URL: www.is.tuebingen.mpg.de

Language: English - Date: 2011-01-20 08:12:42
69A Very Fast Method for Clustering Big Text Datasets Frank Lin and William W. Cohen 1 Abstract. Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits th

A Very Fast Method for Clustering Big Text Datasets Frank Lin and William W. Cohen 1 Abstract. Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits th

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Source URL: www.cs.cmu.edu

Language: English - Date: 2010-05-21 12:59:27
70Finding Critical Traffic Matrices Yin Zhang Department of Computer Sciences University of Texas at Austin Austin, TX 78712, USA [removed]

Finding Critical Traffic Matrices Yin Zhang Department of Computer Sciences University of Texas at Austin Austin, TX 78712, USA [removed]

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Source URL: www.cs.utexas.edu

Language: English - Date: 2005-03-31 01:17:58