Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network

We present a novel method, called graph sparse nonnegative matrix factorization, for dimensionality reduction. The affinity graph and sparse constraint are further taken into consideration in nonnegative matrix factorization and it is shown that the proposed matrix factorization method can respect t...

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Bibliographic Details
Main Authors: Xiangguang Dai, Chuandong Li, Biqun Xiang
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/2743678
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