Principal Component Analysis:
The purpose of principal component analysis is to derive a small number of linear combinations (principal components) of a set of variables that retain as much of the information in the original variables as possible.
Principal Component Analysis:
The purpose of principal component analysis is to derive a small number of linear combinations (principal components) of a set of variables that retain as much of the information in the original variables as possible.
By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.
Accept