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K-means clustering
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311	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran-mirror.cs.uu.nl 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
312	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.xl-mirror.nl 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
313	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.espol.edu.ec 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
314	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: mirror.mdx.ac.uk 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
315	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.sciserv.eu 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
316	ICTNET at Web Track 2011 Diversity Task Shengxian Wan1,2,Yuanhai Xue1,2, XiaomingYu1, Feng Guan1,Yue Liu1, Xueqi Cheng1 1. Institute of Computing Technology, ChineseAcademy of Sciences, Beijing, Graduate School Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:50 Fuzzy clustering Document clustering K-means clustering Vector space model OPTICS algorithm Relevance feedback Cluster analysis Information science Information retrieval Relevance
317	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: ftp.igh.cnrs.fr 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
318	An Ecient Approach to Clustering in Large Multimedia Databases with Noise Alexander Hinneburg, Daniel A. Keim Institute of Computer Science, University of Halle, Germany fhinneburg, Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:14:37 Geostatistics Machine learning DBSCAN Hierarchical clustering K-means clustering BIRCH K-medoids Determining the number of clusters in a data set Clustering high-dimensional data Statistics Cluster analysis Data mining
319	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.cardse.net 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
320	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.eenet.ee 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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