Eigen Decomposition

Principal Component Analysis - Theory and Application with R

PCA is a technique to transform the original set of variables into a smaller set of linear combination of variables so that most of the statistical information is preserved by those linear combinations. Before diving into the PCA, there are a few things one should be aware of…