 Non-negative matrix factorization

Non-negative matrix factorization (NMF) is a group of algorithms in linear algebra and data analysis that factorize a non-negative matrix into (usually) two lower-rank non-negative matrices. This approach is useful in various applications, particularly in machine learning, image processing, and data mining. ### Key Concepts 1.