Improving nonnegative matrix factorization with advanced graph regularization

DOI10.1016/j.ins.2022.03.008OpenAlexW4220809099WikidataQ114167382 ScholiaQ114167382MaRDI QIDQ6118895

Hong Yu, Kesheng Wu, De-Gang Chen, Xiaoxia Zhang, Guo-Yin Wang, Houjun Tang

Publication date: 28 February 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.03.008

zbMATH Keywords

graph Laplaciannon-negative matrix factorizationlinear projectiongraph regularized nonnegative matrix factorization

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Graph theory (including graph drawing) in computer science (68R10) Orthogonalization in numerical linear algebra (65F25)

Cites Work

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• Graph dual regularization non-negative matrix factorization for co-clustering
• Low-Rank Matrix Factorization With Adaptive Graph Regularizer
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization

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