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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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Detalles Bibliográficos
Autores principales: Peharz, Robert, Pernkopf, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Publishers 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312776/
https://www.ncbi.nlm.nih.gov/pubmed/22505792
http://dx.doi.org/10.1016/j.neucom.2011.09.024