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K-medians clustering
Results: 42

#	Item
31	Clustering via Similarity Functions: Theoretical Foundations and Algorithms∗ Maria-Florina Balcan Microsoft Research, [removed] and Avrim Blum Carnegie Mellon University, [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-04 20:05:56 Machine learning Multivariate statistics Data mining Geostatistics Correlation clustering K-medians clustering Hierarchical clustering K-means clustering Single-linkage clustering Statistics Computational statistics Cluster analysis
32	Better Guarantees for Sparsest Cut Clustering Maria-Florina Balcan Microsoft Research, New England One Memorial Drive, Cambridge, MA [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-22 14:29:08 Computational statistics Cut Graph connectivity K-means clustering K-medians clustering Approximation algorithm Linear programming relaxation K-means++ Cluster analysis Statistics Mathematics Combinatorial optimization
33	Distance metric learning, with application to clustering with side-information Eric P. Xing, Andrew Y. Ng, Michael I. Jordan and Stuart Russell University of California, Berkeley Berkeley, CA 94720 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-10-27 20:39:15 Cluster analysis K-means clustering Information bottleneck method Principal component analysis K-medians clustering Consensus clustering Statistics Multivariate statistics Data analysis
34	A Discriminative Framework for Clustering via Similarity Functions Maria-Florina Balcan∗ Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:27 Geostatistics Machine learning Single-linkage clustering Hierarchical clustering K-medians clustering K-means clustering Correlation clustering Spectral clustering Consensus clustering Statistics Cluster analysis Data mining
35	Clustering via Similarity Functions: Theoretical Foundations and Algorithms∗ Maria-Florina Balcan† Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2010-10-31 19:53:49 Hierarchical clustering K-means clustering Single-linkage clustering K-medians clustering Document clustering Consensus clustering Machine learning Data stream clustering Statistics Cluster analysis Correlation clustering
36	A Clustering under Approximation Stability MARIA-FLORINA BALCAN, Georgia Institute of Technology Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2013-03-19 12:47:03 Data mining Geostatistics Machine learning K-medians clustering K-means clustering Hierarchical clustering Approximation algorithm K-means++ Consensus clustering Statistics Multivariate statistics Cluster analysis
37	Approximate Clustering without the Approximation Maria-Florina Balcan∗ Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:18 Data analysis Data mining Geostatistics Machine learning K-medians clustering Hierarchical clustering K-means clustering Consensus clustering Statistics Multivariate statistics Cluster analysis
38	Temporal Structure Learning for Clustering Massive Data Streams in Real-Time Add to Reading List Source URL: siam.omnibooksonline.com Language: English - Date: 2011-05-02 11:40:24 Geostatistics Machine learning Data stream clustering BIRCH K-medians clustering OPTICS algorithm DBSCAN Segmentation Consensus clustering Statistics Cluster analysis Data mining
39	Proceedings of the International MultiConference of Engineers and Computer Scientists 2010 Vol I, IMECS 2010, March[removed], 2010, Hong Kong Add to Reading List Source URL: www.iaeng.org Language: English - Date: 2010-02-28 16:49:17 Data mining Geostatistics K-means clustering Document clustering BIRCH Data stream clustering Fuzzy clustering Hierarchical clustering K-medians clustering Statistics Cluster analysis Data analysis
40	PDF Document Add to Reading List Source URL: vldb.org Language: English - Date: 2012-03-24 02:44:28 Machine learning K-means clustering Cluster analysis K-medians clustering Fisher–Yates shuffle Data stream clustering Expectation–maximization algorithm Statistics Computational statistics K-means++