Non-negative Matrix Factorization
Non-negative matrix factorization (NMF) is a group of algorithms in multivariate analysis and linear algebra where a matrix, is factorized into (usually) two matrices, and :
Factorization of matrices is generally non-unique, and a number of different methods of doing so have been developed (e.g. principal component analysis and singular value decomposition) by incorporating different constraints; non-negative matrix factorization differs from these methods in that it enforces the constraint that the factors W and H must be non-negative, i.e., all elements must be equal to or greater than zero.
Read more about Non-negative Matrix Factorization: History, Background, Algorithms, Relation To Other Techniques, Uniqueness, Current Research, See Also
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