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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Publishers
2012
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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 |