Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization

To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L<sub&...

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Bibliografiske detaljer

Principais autores:	Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Journal on Communications 2020-05-01
Serier:	Tongxin xuebao
Fag:	nonnegative matrix factorization;manifold regularization;sparse constraint;K-means clustering
Online adgang:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020064
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