Nonnegative Matrix Factorization: A Comprehensive Review

Nonnegative Matrix Factorization (NMF), a relatively novel paradigm for dimensionality reduction, has been in the ascendant since its inception. It incorporates the nonnegativity constraint and thus obtains the parts-based representation as well as enhancing the interpretability of the issue corresp...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 25; H. 6; S. 1336 - 1353
Hauptverfasser:	Wang, Yu-Xiong, Zhang, Yu-Jin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2013
Schlagworte:	Algorithm design and analysis Data analysis Data mining dimensionality reduction Matrix decomposition multivariate data analysis nonnegative matrix factorization (NMF) Optimization Semantics Signal processing algorithms Vectors
ISSN:	1041-4347
Online-Zugang:	Volltext
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