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K-means clustering
Results: 985

#	Item
491	YADING: Fast Clustering of Large-Scale Time Series Data Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang Microsoft Research Beijing, China {juding, qiawang, yidang, qifu, haizhang, dongmeiz}@m Add to Reading List Source URL: www.vldb.org Language: English - Date: 2014-12-17 10:06:24 Multivariate statistics Cluster analysis Data analysis Geostatistics DBSCAN K-means clustering Sampling Statistics Data mining Machine learning
492	The Uniqueness of a Good Optimum for K-Means Marina Meil˘ a [removed] University of Washington, Department of Statistics, Box[removed], Seattle, WA[removed]USA Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-20 23:31:13 Data analysis Singular value decomposition Cluster analysis Data mining Geostatistics Principal component analysis K-means clustering Normal distribution Eigenvalues and eigenvectors Statistics Algebra Multivariate statistics
493	The Pursuit of Newsworthiness on Twitter Eirik Stavelin University of Bergen Abstract Although journalists follow social media and social media do contain newsworthy insight Add to Reading List Source URL: www.nik.no Language: English - Date: 2014-01-08 09:30:11 World Wide Web Real-time web Social media Text messaging Websites Cluster analysis Hierarchical clustering K-means clustering Hashtag Statistics Computing Twitter
494	22nd National Conference of the Australian Society for Operations Research, Adelaide, Australia, 1–6 December 2013 www.asor.org.au/conferences/asor2013 Contextual Clustering Grouping and classifying problems in a defin Add to Reading List Source URL: www.asor.org.au Language: English - Date: 2013-11-24 18:45:34 Data mining Geostatistics K-means clustering Single-linkage clustering Sampling Computer cluster Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Data analysis
495	Information Systems[removed]–497 Contents lists available at ScienceDirect Information Systems journal homepage: www.elsevier.com/locate/infosys Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2011-05-16 02:50:47 Cluster analysis Data analysis Data mining Geostatistics Machine learning Hierarchical clustering K-means clustering OPTICS algorithm Fuzzy clustering Geometry Statistics Mathematics
496	Technical report – Sport England market segmentation Add to Reading List Source URL: www.sportengland.org Language: English - Date: 2013-06-10 08:37:26 Geostatistics Multivariate statistics Image processing Segmentation Market segmentation Cluster analysis Demographics Experian K-means clustering Statistics Marketing Market research
497	Index K -means algorithm, 238, 265 ANOVA, see analysis of variance Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2012-04-23 06:41:58 Cluster analysis Multivariate statistics Data analysis K-means clustering Calibration Random forest Linear classifier Expectation–maximization algorithm K-nearest neighbor algorithm Statistics Machine learning Statistical classification
498	Hierarchical Maximum-Margin Clustering arXiv:1502.01827v1 [cs.LG] 6 Feb 2015 Guang-Tong Zhou Simon Fraser University, Burnaby, Canada Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2015-02-21 20:52:38 Data mining Geostatistics Hierarchical clustering Document clustering K-means clustering Single-linkage clustering Computer cluster Consensus clustering BIRCH Statistics Cluster analysis Data analysis
499	Hartigan’s Method: k-means Clustering without Voronoi Matus Telgarsky University of California, San Diego [removed] Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-12-09 16:19:41 Diagrams Discrete geometry Machine learning K-means++ Cluster analysis Voronoi diagram Statistics Computational statistics K-means clustering
500	C-Link: A Hierarchical Clustering Approach to Large-Scale Near-Optimal Coalition Formation Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:58 Multivariate statistics Cluster analysis Data mining Geostatistics Hierarchical clustering Genetic algorithm Dynamic programming K-means clustering Cooperative game Statistics Mathematical optimization Game theory

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