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K-medians clustering
Results: 42

#	Item
21	grira-houle-last-icml07-formatted.dvi Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:47 Cluster analysis Medoid K-medoids K-means clustering Centroid Hierarchical clustering K-medians clustering Clustering high-dimensional data Statistics Computational statistics Means
22	Approximate Clustering without the Approximation Maria-Florina Balcan∗ Avrim Blum† Abstract Add to Reading List Source URL: www.cs.cmu.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
23	A Clustering under Approximation Stability MARIA-FLORINA BALCAN, Georgia Institute of Technology AVRIM BLUM, Carnegie Mellon University ANUPAM GUPTA, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.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
24	Approximate Clustering on Distributed Data Streams Qi Zhang #1, Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2008-08-13 11:14:50 Data analysis Data mining Geostatistics Machine learning Algorithm K-medians clustering K-means clustering Minimum spanning tree Data stream clustering Statistics Computational statistics Cluster analysis
25	Scalable K-Means++ Bahman Bahmani∗† Benjamin Moseley∗‡ Andrea Vattani∗§ Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2012-02-28 09:44:55 Machine learning K-means clustering K-medians clustering Cluster analysis Fisher–Yates shuffle Data stream clustering Consensus clustering Statistics Computational statistics K-means++
26	The Effectiveness of Lloyd-Type Methods for the k-Means Problem Rafail Ostrovsky∗ Yuval Rabani† Leonard J. Schulman‡ Add to Reading List Source URL: www.math.uwaterloo.ca Language: English - Date: 2006-11-11 22:13:16 Cluster analysis Data analysis Data mining Geostatistics K-means clustering K-medians clustering Hierarchical clustering Approximation algorithm Voronoi diagram Statistics Computational statistics Machine learning
27	rEMM: Extensible Markov Model for Data Stream Clustering in R Michael Hahsler Margaret H. Dunham Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-01-14 10:43:27 Data analysis Data mining Geostatistics Data stream clustering BIRCH K-medians clustering K-means clustering K-medoids DBSCAN Statistics Cluster analysis Multivariate statistics
28	A Discriminative Framework for Clustering via Similarity Functions Maria-Florina Balcan∗ Avrim Blum∗ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-03-29 00:03:04 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
29	Finding low error clusterings Maria-Florina Balcan Mark Braverman Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-21 20:12:17 Machine learning Data mining Geostatistics K-means clustering Correlation clustering K-medians clustering Data stream clustering Single-linkage clustering Statistics Cluster analysis Multivariate statistics
30	Approximate Clustering without the Approximation Maria-Florina Balcan∗ Avrim Blum† Abstract Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-10-05 11:16:56 Data analysis Data mining Geostatistics Machine learning K-medians clustering Hierarchical clustering K-means clustering Consensus clustering Statistics Multivariate statistics Cluster analysis