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
Famous quotes containing the word matrix:
““The matrix is God?”
“In a manner of speaking, although it would be more accurate ... to say that the matrix has a God, since this being’s omniscience and omnipotence are assumed to be limited to the matrix.”
“If it has limits, it isn’t omnipotent.”
“Exactly.... Cyberspace exists, insofar as it can be said to exist, by virtue of human agency.””
—William Gibson (b. 1948)