Skip to content

Useful concepts

Jump to bottom
Gubynator edited this page May 15, 2018 · 13 revisions

PCA Principal Component Analyisis: statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables

Clone this wiki locally