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- W2364241010 abstract "In order to improve the ability of the sparse representations of the NMF,this paper proposed the new algorithm for nonnegative matrix factorization,denoted smoothed l0 norm constrained nonnegative matrix factorization on orthogonal subspace,in which the generation of orthogonal factor matrices with smoothed l0 norm constrained were the parts of objective function minimization.Also it developed simple multiplicative updates for the proposed method.Experiments on three real-world databases(Iris,UCI,ORL) show that the proposed method can achieve the best or close to the best in clustering and in the way of the sparse representation than other methods." @default.
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- W2364241010 date "2013-01-01" @default.
- W2364241010 modified "2023-09-22" @default.
- W2364241010 title "Smoothed l0 norm constrained nonnegative matrix factorization on orthogonal subspace" @default.
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