Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
employed to reduce computational load. These methods approximate the SVD of the entire dataset by performing SVD on a subset of the data. Sparse Datasets: For sparse matrices, specialized algorithms like sparse SVD can efficiently handle the large number of zero elements while retaining significant