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Spectral clustering
Results: 233

#	Item
141	Learning Taxonomies by Dependence Maximization Matthew B. Blaschko Arthur Gretton Max Planck Institute for Biological Cybernetics Spemannstr. 38 Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:12:42 Multivariate statistics Cluster analysis Data analysis Data mining Geostatistics Machine learning Hierarchical clustering Spectral clustering Eigenvalues and eigenvectors Statistics Algebra Mathematics
142	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 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-21 12:59:27 Multivariate statistics Linear algebra Matrix theory Cluster analysis Data analysis Spectral clustering Information bottleneck method Eigenvalues and eigenvectors K-means clustering Algebra Statistics Mathematics
143	REPORTS Brendan J. Frey* and Delbert Dueck Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars” can be found Add to Reading List Source URL: www.psi.toronto.edu Language: English - Date: 2007-07-03 17:24:04 Machine learning K-medians clustering Operations research K-means clustering Spectral clustering Exemplar Belief propagation Statistics Computational statistics Cluster analysis
144	QUAC: Quick Unsupervised Anisotropic Clustering D. Hanwell, M. Mirmehdi Visual Information Laboratory, University of Bristol, Bristol, United Kingdom Abstract We present a novel unsupervised algorithm for quickly finding Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-07-08 05:45:18 Machine learning Data mining Geostatistics K-means clustering Gaussian function Hierarchical clustering Spectral clustering Segmentation DBSCAN Statistics Cluster analysis Multivariate statistics
145	Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora Richard Socher Li Fei-Fei Dept. of Computer Science Stanford University Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:30:09 Computer vision Computational linguistics Natural language processing Image processing Segmentation Word-sense disambiguation Spectral clustering Object recognition Search engine indexing Information science Science Artificial intelligence
146	Co-clustering documents and words using Bipartite Spectral Graph Partitioning Inderjit S. Dhillon Department of Computer Sciences University of Texas, Austin, TX 78712 Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2003-01-30 00:19:46 Information retrieval Multivariate statistics Natural language processing Document clustering Biclustering Graph partition Vector space model K-means clustering Search engine indexing Statistics Information science Cluster analysis
147	Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox1,2 and Jitendra Malik1 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-10-18 17:25:15 Multivariate statistics Image processing Geostatistics Segmentation Cluster analysis K-means clustering Spectral clustering Eigenvalues and eigenvectors Motion analysis Statistics Algebra Mathematics
148	I074 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN, VOL. 11, NO. 9, SEPTEMBER 1992 New Spectral Methods for Ratio Cut Partitioning and Clustering Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:45 Combinatorial optimization Graph partition Singular value decomposition Matrix theory Algebraic graph theory Eigenvalues and eigenvectors Adjacency matrix Cut Hypergraph Mathematics Algebra Graph theory
149	A Fast Kernel-based Multilevel Algorithm for Graph Clustering Inderjit Dhillon Yuqiang Guan Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:26 Spectral clustering Segmentation K-means clustering Consensus clustering Correlation clustering Statistics Cluster analysis Graph partition
150	Hierarchical Framework for Plot De-interlacing of TV Series based on Speakers, Dialogues and Images Philippe Ercolessi, Christine Sénac, Sandrine Mouysset Hervé Bredin Add to Reading List Source URL: herve.niderb.fr Language: English - Date: 2015-01-26 03:58:12 Data mining Geostatistics Machine learning Spectral clustering K-means clustering Segmentation Consensus clustering Statistics Cluster analysis Data analysis

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