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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Autor principal:	Junhang CHEN, Zuyuan YANG, Mingyang LIU, Lingjiang LI
Format:	Artigo
Idioma:	Inglês
Publicat:	Editorial Office of Computer Engineering 2023-08-01
Col·lecció:	Jisuanji gongcheng
Matèries:	dimension reduction|nonnegative matrix factorization(nmf)|generalized separable nonnegative matrix factorization(gsnmf)|orthogonal constraint|data representation
Accés en línia:	https://www.ecice06.com/fileup/1000-3428/PDF/20230806.pdf
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