Uses of Package
com.numericalmethod.suanshu.stats.factor.pca

Packages that use com.numericalmethod.suanshu.stats.factor.pca

Package	Description
com.numericalmethod.suanshu.stats.factor.pca

Classes in com.numericalmethod.suanshu.stats.factor.pca used by com.numericalmethod.suanshu.stats.factor.pca

Class and Description
PCA Principal Component Analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.