Svd, Singular Values, Eigenvalue, Eigenvectors, Sklearn.
and eigenvector problem. Therefore we can find U and V matrices using eigenvalues and eigenvectors. In a similar way, we can calculate V: Calculating U: # Note: U_ received from eigenvectors of AA^T = (np.dot(A,A.T)) are rearranged in decreasing order of eigenvalues to get U in the SVD equation.