Robust Exponential Graph Regularization Non-Negative Matrix Factorization Technology for Feature Extraction

Robust Exponential Graph Regularization Non-Negative Matrix Factorization Technology for Feature Extraction

Graph regularized non-negative matrix factorization (GNMF) is widely used in feature extraction. In the process of dimensionality reduction, GNMF can retain the internal manifold structure of data by adding a regularizer to non-negative matrix factorization (NMF). Because Ga NMF regularizer is imple...

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Bibliographic Details
Main Authors:	Minghua Wan, Mingxiu Cai, Guowei Yang
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Mathematics
Subjects:	graph regularization non-negative matrix factorization (GNMF) non-negative matrix factorization (NMF) local preserving projections (LPP) feature extraction SSS problems
Online Access:	https://www.mdpi.com/2227-7390/11/7/1716

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