Svd, Singular Values, Eigenvalue, Eigenvectors, Sklearn.
vectors since every vector can be decomposed by the basis of V, and we know the linear map rules for the basis vectors. Orthogonal Properties of U and V: U and V matrices obtained from SVD are always orthogonal. They preserve length, preserve angles, and do not magnify errors. A matrix is said to