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Data analysis / Multivariate statistics / Singular value decomposition / Matrix theory / Principal component analysis / Eigenvalues and eigenvectors / Covariance matrix / Variance / Power iteration / Algebra / Statistics / Linear algebra
Date: 2013-12-15 15:36:59
Data analysis
Multivariate statistics
Singular value decomposition
Matrix theory
Principal component analysis
Eigenvalues and eigenvectors
Covariance matrix
Variance
Power iteration
Algebra
Statistics
Linear 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, PC

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