Linear Algebra, Data Science, Applied Machine Learning.
associated significance), we can get the eigenvectors and eigenvalues of the above symmetric square matrices. Be careful about the use of terminologies here. Your outputs below are not the eigenvectors of A, but that of np.matmul(A, A.T) or np.matmul(A.T, A). eigenvalues_L, eigenvectors_L =