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K-means clustering
Results: 985

#	Item
911	Efficient Clustering with Limited Distance Information Konstantin Voevodski Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2010-06-12 07:54:23 Data mining Machine learning Cluster analysis Geostatistics K-means++ K-means clustering Nearest neighbor search Spectral clustering Complete-linkage clustering Statistics Computational statistics Information science
912	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
913	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
914	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
915	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
916	ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification Vineet Chaoji∗ Geng Li† Add to Reading List Source URL: www.cs.rpi.edu Language: English - Date: 2011-02-04 14:33:02 Hierarchical clustering K-means clustering Spectral clustering Medoid Segmentation Clustering high-dimensional data Statistics Cluster analysis DBSCAN
917	Evolutionary Clustering Deepayan Chakrabarti Ravi Kumar Andrew Tomkins Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-06-22 13:02:08 Geostatistics Machine learning Hierarchical clustering K-means clustering Document clustering Consensus clustering Complete-linkage clustering Statistics Cluster analysis Data mining
918	WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction Bhavana Dalvi William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-12-06 16:33:16 Geostatistics Machine learning Single-linkage clustering Hierarchical clustering K-means clustering Hyponymy Fowlkes–Mallows Index WordNet Consensus clustering Statistics Cluster analysis Data mining
919	Recent Advances in Intelligent Information Systems ISBN[removed]8, pages 669–682 Add to Reading List Source URL: www.debellor.org Language: English - Date: 2010-01-11 08:16:50 Machine learning K-means clustering Cluster analysis Algorithm Weka Streaming algorithm Data stream clustering Statistics Data analysis Data mining
920	1 ANGELI, DAVISON: LIVE FEATURE CLUSTERING IN VIDEO Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-09-13 10:26:24 Data mining Geostatistics Sequence clustering K-means clustering Segmentation Spectral clustering Key frame Consensus clustering Hierarchical clustering Statistics Cluster analysis Bioinformatics

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