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K-means clustering
Results: 985

#	Item
861	Speedup of Fuzzy and Possibilistic Kernel c-Means for Large-Scale Clustering Timothy C. Havens, Radha Chitta, Anil K. Jain, and Rong Jin Department of Computer Science and Engineering Michigan State University, East Lans Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2011-04-11 12:46:48 Cluster analysis K-means clustering Determining the number of clusters in a data set Spectral clustering Statistics Multivariate statistics Fuzzy clustering
862	Efficient Kernel Clustering Using Random Fourier Features Radha Chitta, Rong Jin and Anil K. Jain Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA [removed], r Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2012-10-17 14:03:01 Multivariate statistics Data mining Machine learning Linear algebra Matrix theory Spectral clustering Cluster analysis Kernel principal component analysis K-means clustering Statistics Mathematics Algebra
863	Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion Jinfeng Yi [removed] Lijun Zhang Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2014-02-11 17:55:20 Data analysis Constrained clustering Cluster analysis Spectral clustering Hierarchical clustering K-means clustering Large margin nearest neighbor Segmentation Semi-supervised learning Statistics Machine learning Multivariate statistics
864	Active Query Selection for Semi-supervised Clustering Pavan Kumar Mallapragada, Rong Jin and Anil K. Jain Department of Computer Science and Engineering Michigan State University, East Lansing, MI 48823 {pavanm,rongjin,j Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2009-04-06 13:55:28 Machine learning Constrained clustering Cluster analysis K-means clustering Consensus clustering Statistics Computational statistics Data mining
865	Robust Ensemble Clustering by Matrix Completion Jinfeng Yi† , Tianbao Yang‡ , Rong Jin† , Anil K. Jain† , Mehrdad Mahdavi† of Computer Science and Engineering, Michigan State University ‡ Machine Learning Lab Add to Reading List Source URL: www.cse.msu.edu Language: English - Date: 2012-10-22 03:04:55 Spectral clustering Single-linkage clustering Hierarchical clustering K-means clustering Segmentation Complete-linkage clustering Fuzzy clustering Statistics Cluster analysis Consensus clustering
866	Pattern Recognition Letters[removed]–666 Contents lists available at ScienceDirect Pattern Recognition Letters journal homepage: www.elsevier.com/locate/patrec Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-12 20:02:42 Multivariate statistics Data mining Geostatistics Consensus clustering Hierarchical clustering K-means clustering Spectral clustering Single-linkage clustering DBSCAN Statistics Cluster analysis Machine learning
867	BoostCluster: Boosting Clustering by Pairwise Constraints Yi Liu, Rong Jin, and Anil K. Jain Department of Computer Science and Engineering Michigan State University East Lansing, MI 48824, USA {liuyi3, Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2009-04-06 13:55:29 Machine learning Cluster analysis Data mining Geostatistics Hierarchical clustering Constrained clustering Spectral clustering Single-linkage clustering K-means clustering Statistics Multivariate statistics Data analysis
868	Microsoft PowerPoint - FuLectureDec5_edit.ppt [Compatibility Mode] Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2009-04-06 14:12:57 Cluster analysis Data mining Geostatistics Unsupervised learning Fuzzy clustering Hierarchical clustering K-means clustering Single-linkage clustering Categorization Statistics Machine learning Computational statistics
869	Review on Clustering in Data Mining Massimo Brescia M. Brescia – DAME Program Clustering at large Add to Reading List Source URL: dame.dsf.unina.it Language: English - Date: 2010-03-26 07:08:51 Data analysis Cluster analysis Data mining Geostatistics K-means clustering Unsupervised learning K-medoids Consensus clustering Correlation clustering Statistics Computational statistics Machine learning
870	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 3, MARCH 2002 Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2009-04-06 13:55:30 Statistical theory Data analysis Multivariate statistics Expectation–maximization algorithm Mixture model K-means clustering Mixture distribution Maximum likelihood Principal component analysis Statistics Estimation theory Machine learning

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