Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization

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<...

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Bibliographic Details
Main Authors: Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-05-01
Series:Tongxin xuebao
Subjects:
nonnegative matrix factorization
manifold regularization
sparse constraint
K-means clustering
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020064/
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