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Multivariate
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#	Item
961	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: cran.stat.auckland.ac.nz Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis
962	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: cran.uib.no Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis
963	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: rweb.quant.ku.edu 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
964	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: mirror.mdx.ac.uk Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis
965	Multivariate Nonlinear Modeling of Beach-profile Evolution: A Case Study along Pinellas County Coast, Florida Student Researchers: o Jun Cheng (Team Leader)—College of Arts and Sciences—Geology Add to Reading List Source URL: www.grad.usf.edu Language: English - Date: 2013-07-10 02:34:40 Pinellas County Florida Time series
966	Single-Pass Clustering for Peer-to-Peer Information Retrieval: The Effect of Document Ordering Iraklis A. Klampanos Joemon M. Jose Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2008-01-05 06:13:33 Multivariate statistics Natural language processing Cluster analysis Data mining Geostatistics Document clustering Hierarchical clustering Relevance Statistics Information science Information retrieval
967	426 JOURNAL OF CLIMATE VOLUME 27 Add to Reading List Source URL: www.atmos.washington.edu Language: English - Date: 2014-09-12 16:51:39 Paleoclimatology Climate history Multivariate statistics Proxy Statistical forecasting Global warming Principal component analysis Data assimilation Global climate model Atmospheric sciences Statistics Meteorology
968	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.csie.ntu.edu.tw 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
969	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: watson.nci.nih.gov 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
970	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.sunet.se 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

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