Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
these selected singular values and their corresponding vectors, construct the approximate image matrix A’: A’ = U_k Σ_k V_k^(*) Here, U_k and V_k^(*) are the first k columns and rows of U and V^(*) respectively, and Σ_k is a diagonal matrix containing the top k singular values. Step 4: Image