Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
Sparsity: For highly sparse datasets (e.g., matrices with many zero elements), standard SVD might not be the most efficient method. Special techniques are needed to effectively handle the sparsity of data. Sensitivity to Noise: SVD is sensitive to noise, particularly in applications like data