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K-means clustering
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281	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: mirrors.nic.cz Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
282	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: mirrors.softliste.de Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
283	Spectral Clustering with Inconsistent Advice Tom Coleman James Saunderson Anthony Wirth The University of Melbourne, Victoria 3010 Australia Add to Reading List Source URL: www.mit.edu Language: English - Date: 2012-07-29 14:44:27 Cluster analysis Multivariate statistics Linear algebra Matrix theory Data mining Spectral clustering Semidefinite programming K-means clustering Correlation clustering Statistics Mathematics Algebra
284	Survey of Clustering Data Mining Techniques Pavel Berkhin Accrue Software, Inc. Clustering is a division of data into groups of similar objects. Representing the data by fewer clusters necessarily loses certain fine deta Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2003-04-20 20:33:01 Hierarchical clustering Consensus clustering BIRCH K-means clustering Single-linkage clustering Document clustering DBSCAN Unsupervised learning Segmentation Statistics Cluster analysis Machine learning
285	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.csiro.au Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
286	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: cran.csiro.au Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
287	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.case.edu Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
288	Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans Department of Computing Science University of Alberta, Edmonton, Alberta T6G 2E8 {ys3,zh Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Data analysis Data mining Geostatistics Biclustering Hierarchical clustering K-means clustering Consensus clustering Statistics Cluster analysis Multivariate statistics
289	Linear coherent bi-cluster discovery via beam detection and sample set clustering Yi Shi ⋆ , Maryam Hasan, Zhipeng Cai, Guohui Lin, and Dale Schuurmans Department of Computing Science, University of Alberta Edmonton, A Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Gene expression Data mining Geostatistics Biclustering Ridge K-means clustering Hierarchical clustering DBSCAN Statistics Cluster analysis Multivariate statistics
290	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.cc.uoc.gr Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining

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