Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
Robustness: SVD is numerically stable, meaning it is reliable in computation, especially in scenarios involving noisy data or approximate solutions. Data Compression and Dimensionality Reduction: A key characteristic of SVD is its ability to identify the most important parts of the data, making it