Sparse nonnegative matrix factorization with ℓ(0)-constraints

Although nonnegative matrix factorization (NMF) favors a sparse and part-based representation of nonnegative data, there is no guarantee for this behavior. Several authors proposed NMF methods which enforce sparseness by constraining or penalizing the [Formula: see text] of the factor matrices. On t...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 80; no. 1; p. 38
Main Authors:	Peharz, Robert, Pernkopf, Franz
Format:	Journal Article
Language:	English
Published:	15.03.2012
ISSN:	0925-2312
Online Access:	Get full text
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