Principal Component Analysis - a short explanation
3 Mar 2021 2 minute read 1 comment Karina
The principal component analysis is a procedure that uses an orthogonal transformation to convert a set of data that has correlated variables into a set of uncorrelated variables called principal components. This is used to get rid of redundant inf...