Principal component analysis (PCA) is a dimensionality reduction method that transforms a large set of variables into a smaller one but still containing most of the information in the large set.
Principal component analysis (PCA) is a dimensionality reduction method that transforms a large set of variables into a smaller one but still containing most of the information in the large set.