Convex and semi-nonnegative matrix factorizations

We present several new variations on the theme of nonnegative matrix factorization (NMF). Considering factorizations of the form X=FG(T), we focus on algorithms in which G is restricted to containing nonnegative entries, but allowing the data matrix X to have mixed signs, thus extending the applicab...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 32(2010), 1 vom: 20. Jan., Seite 45-55
1. Verfasser:	Ding, Chris (VerfasserIn)
Weitere Verfasser:	Li, Tao, Jordan, Michael I
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2010
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.