Machine Learning, Data Science, Analytics, Data Analysis.
then the singular values are the axes of a least squares fitted ellipsoid while V is its orientation. The matrix U is the projection of each of the points in A onto the axes. Applications The sum of the squares of the singular values should be equal to the total variance in A. Thus, the size of