Machine Learning, Linear Algebra.
symmetric matrix you can always find n eigenvectors that are orthogonal to each other (spectral theorem) After finding the n eigenvectors of A we can arrange them as columns of an n x n square matrix Q. We apply Q to A and we get another matrix B. This application can be seen as a scaling of the