Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
retaining the top 100 singular values, we effectively reduce the data size to 10% of the original (assuming each singular value and corresponding vectors consume similar storage space). This method significantly reduces storage requirements while maintaining recognition and visual quality in most