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K-means
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#	Item
541	Data Clustering: K-means and Hierarchical Clustering Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2011-10-04 16:23:59 Data mining Geostatistics K-means clustering Hierarchical clustering Unsupervised learning Dendrogram Segmentation Fuzzy clustering Consensus clustering Statistics Cluster analysis Machine learning
542	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
543	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
544	Microsoft Word - K-means-revised-final.doc Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:21 Statistics Security Segmentation Fingerprint recognition Identification Fingerprint Histogram Fingerprints Image processing Biometrics
545	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
546	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
547	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
548	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
549	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
550	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

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