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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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	Junhang CHEN, Zuyuan YANG, Mingyang LIU, Lingjiang LI
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2023-08-01
Subjects:	dimension reduction|nonnegative matrix factorization(nmf)|generalized separable nonnegative matrix factorization(gsnmf)|orthogonal constraint|data representation
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20230806.pdf