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Principal component analysis
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#	Item
481	1 Vol 16 Issue 6 – 7 INTERACTIVE DATA EXPLORATION WITH TARGETED PROJECTION Add to Reading List Source URL: www.leoalmanac.org Language: English - Date: 2014-02-11 08:11:03 Visualization Dimension reduction Targeted projection pursuit Projection pursuit Data visualization Exploratory data analysis Data mining Principal component analysis GGobi Statistics Data analysis Multivariate statistics
482	Notes on the use of R for psychology experiments and questionnaires Jonathan Baron Department of Psychology, University of Pennsylvania Yuelin Li Center for Outcomes Research, Children’s Hospital of Philadelphia ∗ Add to Reading List Source URL: cran.espol.edu.ec Language: English - Date: 2003-09-09 07:42:07 Matrix Euclidean vector Vector space Array data type Array programming R Column space Principal component analysis Algebra Mathematics Linear algebra
483	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.fiocruz.br 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
484	(Reprinted from the 2010 American Statistical Association Proceedings with Edits) Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-03-09 08:57:01 Logistic regression Principal component regression Linear discriminant analysis Separation Multicollinearity Stepwise regression Standardized coefficient Least squares Multinomial logit Statistics Regression analysis Linear regression
485	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
486	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.espol.edu.ec 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
487	Statistical analysis of the Blizzard Challenge 2007 listening test results Robert A. J. Clark, Monika Podsiadło, Mark Fraser, Catherine Mayo, Simon King Centre for Speech Technology Research, University of Edinburgh rob Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2009-09-29 11:03:07 Psychometrics Data analysis Computational linguistics Multidimensional scaling Principal component analysis Speech synthesis Dimensional analysis Scale Plot Statistics Multivariate statistics Market research
488	Matrix Computational Assumptions in Multilinear Groups Paz Morillo1 , Carla R`afols2 , and Jorge L. Villar1? 1 2 Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-04-20 07:04:42 Computational hardness assumptions Finite fields Decisional Diffie–Hellman assumption Diffie–Hellman problem Vector space Matrix Kalman filter Principal component analysis Algebra Mathematics Cryptography
489	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
490	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-mirror.cs.uu.nl 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

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