Technical Terms Matrix Factorization: A decomposition technique that breaks down a data matrix into products of lower-dimensional matrices to reveal hidden structures.

Matrix factorization in numerical linear algebra (NLA) typically serves the purpose of restating some given problem in such a way that it can be solved more readily; for example, one major application ...

Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices.