Non-negative matrix factorization
Also known as NMF, NNMF
Non-negative matrix factorization (NMF or NNMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra where a matrix is factorized into (usually) two matrices and , with the property that all three matrices have no negative elements. This non-negativity makes the resulting matrices easier to inspect. Also, in applications such as processing of audio spectrograms or muscular activity, non-negativity is inherent to the data being considered. Since the problem is not exactly solvable in general, it is commonly approximated numerically.
Source: Wikipedia
![thumbnail](/static/26b03f31a7b703de1ca5977b3febb606/non-negative-matrix-factorization-thumb.jpg)
Papers
Date
Unsupervised Object Discovery: A Comparison
Tinne Tuytelaars • Christoph H. Lampert • Matthew B. Blaschko • Wray Buntine
25 Jul 2009