PCA documentation tends to use the term standardization, but I sometimes use the more general term normalization. Each value is normalized using the formula x' = (x - u) / s, where x' is the ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...