Generalized Separable Nonnegative Matrix Factorization Algorithm Based on Orthogonal Constraints

Separable Nonnegative Matrix Factorization(NMF) is a special NMF method used to represent an entire dataset by extracting partial samples or key topics from the dataset.Generalized Separable Nonnegative Matrix Factorization(GSNMF) is an extended algorithm of separable NMF that can simultaneously obt...

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Hlavní autor:	Junhang CHEN, Zuyuan YANG, Mingyang LIU, Lingjiang LI
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Editorial Office of Computer Engineering 2023-08-01
Edice:	Jisuanji gongcheng
Témata:	dimension reduction|nonnegative matrix factorization(nmf)|generalized separable nonnegative matrix factorization(gsnmf)|orthogonal constraint|data representation
On-line přístup:	https://www.ecice06.com/fileup/1000-3428/PDF/20230806.pdf
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