Sparse nonnegative matrix factorization with ℓ0-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 ℓ1-norm of the factor matrices. On the other han...

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Bibliographic Details
Main Authors: Peharz, Robert, Pernkopf, Franz
Format: Online
Language:English
Published: Elsevier Science Publishers 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312776/