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Spectral clustering
Results: 233

#	Item
151	Low Rank Modeling of Signed Networks Cho-Jui Hsieh Kai-Yang Chiang Inderjit S. Dhillon Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2012-10-09 01:02:57 Linear algebra Data analysis Matroid theory Signed graph Topology Rank Matrix Cluster analysis Spectral clustering Statistics Mathematics Multivariate statistics
152	A Tutorial on Spectral Clustering arXiv:0711.0189v1 [cs.DS] 1 Nov 2007 Ulrike von Luxburg Max Planck Institute for Biological Cybernetics Add to Reading List Source URL: arxiv.org Language: English - Date: 2008-02-03 21:55:44 Algebraic graph theory Linear algebra Matrix theory Spectral clustering Graph partition Eigenvalues and eigenvectors Laplacian matrix Spectral graph theory Adjacency matrix Algebra Mathematics Graph theory
153	Personalized Collaborative Clustering Yisong Yue Chong Wang Disney Research Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2014-01-21 11:53:28 Consensus clustering Machine learning Collaborative filtering Recommender system Document clustering Spectral clustering Computer cluster Hierarchical clustering Statistics Cluster analysis Computing
154	Data Mining and Matrices 06 – Spectral Clustering Prof. Dr. Rainer Gemulla Universit¨ at Mannheim Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-11-27 13:22:27 Clique Spectral clustering Graph Neighbourhood Adjacency matrix Consensus clustering Signed graph Graph theory Mathematics Cluster analysis
155	Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel Karl Rohe Department of Statistics University of Wisconsin-Madison Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:22:22 Matrix theory Singular value decomposition Networks Multivariate statistics Spectral clustering Eigenvalues and eigenvectors Community structure Spectral theorem Eigendecomposition of a matrix Algebra Linear algebra Mathematics
156	REGULARIZED SPECTRAL CLUSTERING UNDER THE DEGREE-CORRECTED STOCHASTIC BLOCKMODEL TAI QIN, KARL ROHE DEPARTMENT OF STATISTICS, UW-MADISON Abstract. Spectral clustering is a fast and popular algorithm for finding clusters Add to Reading List Source URL: pages.stat.wisc.edu Language: English - Date: 2014-09-19 11:28:04 Matrix theory Singular value decomposition Networks Multivariate statistics Community structure Eigenvalues and eigenvectors Spectral clustering Spectral theorem Eigendecomposition of a matrix Algebra Linear algebra Mathematics
157	A Closed Form Solution to Natural Image Matting Anat Levin Dani Lischinski Yair Weiss School of Computer Science and Engineering The Hebrew University of Jerusalem Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-04-03 06:30:04 Visual effects Matte Alpha compositing Compositing Eigenvalues and eigenvectors Spectral clustering Segmentation Algebra Mathematics Image processing
158	44th Lunar and Planetary Science Conference[removed]pdf Unsupervised clustering analysis of spectral data for the Rudaki area on Mercury. Mario D’Amore1, Jörn Helbert1, Gregory M. Holsclaw2, Noam R. Izenberg3, Wi Add to Reading List Source URL: www.lpi.usra.edu Language: English - Date: 2013-01-08 04:53:55 Kuiper Murasaki Moon Reflectivity Mercury Planetary science Astronomy Rudaki
159	Submitted to the Annals of Statistics SPECTRAL CLUSTERING AND THE HIGH-DIMENSIONAL STOCHASTIC BLOCKMODEL By Karl Rohe, Sourav Chatterjee and Bin Yu University of California Berkeley Add to Reading List Source URL: statistics.berkeley.edu Language: English - Date: 2014-03-15 03:15:37 Networks Data analysis Multivariate statistics Singular value decomposition Network analysis Spectral clustering Girvan–Newman algorithm Cluster analysis Modularity Statistics Mathematics Algebra
160	Semi-supervised Learning in Gigantic Image Collections Rob Fergus, Courant Institute, NYU, 715 Broadway, Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2009-11-01 07:40:10 Machine learning Linear algebra Fourier analysis Matrix theory Multivariate statistics Eigenvalues and eigenvectors Semi-supervised learning Laplace operator Spectral clustering Algebra Mathematics Mathematical analysis

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