Dimensionality Reduction, Svd, Singular Values, Matrix Factorization, Eigenvectors.
Note that the diagonal values in sigma are always in the descending order and so the vectors are also placed in that corresponding order. If you are familiar with PCA, the principal components correspond to the top k diagonal element which captures the most variance. The higher the value, the more