Linear Algebra, Svd, Eigenvectors, Eigenvalue, Data Science.
row in defining the difference between the faces and the values in the second row define more about the variation among the faces than the third row and so on. The Σ matrix is a diagonal matrix, where we have values only along the diagonal. Since its not a perfect square the values will be 0 after