Principal Component Analysis (PCA) R E D U C E T H E N U M B E R O F D I M E N S I O N S O F T H E D ATA When faced with a moderate or large number of columns but a significant amount of correlation between variables, PC - Variance decomposition - Document - PDFSEARCH.IO

First Page	Meta Content
	Principal Component Analysis (PCA) R E D U C E T H E N U M B E R O F D I M E N S I O N S O F T H E D ATA When faced with a moderate or large number of columns but a significant amount of correlation between variables, PC Add to Reading List Document Date: 2013-12-15 15:36:59 Open Document File Size: 470,96 KB Share Result on Facebook Company McGraw-Hill Companies / S. James Press / / / IndustryTerm g_cluster algorithm / / / Technology g_cluster algorithm / / URL www.1010data.com / / SocialTag Data analysis Multivariate statistics Singular value decomposition Matrix theory Principal component analysis Eigenvalues and eigenvectors Covariance matrix Variance Power iteration Algebra

Principal Component Analysis (PCA) R E D U C E T H E N U M B E R O F D I M E N S I O N S O F T H E D ATA When faced with a moderate or large number of columns but a significant amount of correlation between variables, PCAdd to Reading List