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Principal component analysis
Results: 1856

#	Item
521	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.stat.auckland.ac.nz 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
522	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.rstudio.com Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
523	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran-r.c3sl.ufpr.br 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
524	DOI: j01941.x Eurographics / IEEE Symposium on VisualizationEuroVisH. Hauser, H. Pfister, and J. J. van Wijk (Guest Editors) Volume), Number 3 Add to Reading List Source URL: www-hagen.cs.uni-kl.de Language: English - Date: 2012-02-02 13:21:38 Data analysis Infographics Computer graphics Scientific modeling Visualization Data visualization Principal component analysis Cluster analysis Hierarchical clustering Statistics Multivariate statistics Science
525	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-r.c3sl.ufpr.br 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
526	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.es.r-project.org 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
527	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.osuosl.org Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
528	CCCG 2014, Halifax, Nova Scotia, August 11–13, 2014 An Incidence Geometry approach to Dictionary Learning∗ Meera Sitharam† Mohamad Tarifi‡ Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2014-08-03 18:01:06 Functional analysis Algebraic geometry Hypergraph Differential geometry Incidence matrix Principal component analysis Matroid Homogeneous polynomial Generalizations of the derivative Algebra Mathematics Linear algebra
529	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.repo.bppt.go.id 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
530	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.md.tsukuba.ac.jp 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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