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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Autors principals:	Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG
Format:	Artigo
Idioma:	Chinês
Publicat:	Editorial Department of Journal on Communications 2020-05-01
Col·lecció:	Tongxin xuebao
Matèries:	nonnegative matrix factorization manifold regularization sparse constraint K-means clustering
Accés en línia:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020064/
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