Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving

DOI10.1016/j.ins.2021.11.068OpenAlexW4200121584WikidataQ114167404 ScholiaQ114167404MaRDI QIDQ6154470

Hongmei Chen, Yanyong Huang, Chuan Luo, Tianrui Li, Jian Zheng, Xi Peng

Publication date: 15 February 2024

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

Full work available at URL: https://doi.org/10.1016/j.ins.2021.11.068

zbMATH Keywords

matrix factorizationunsupervised feature selectionorthogonal constraints\(\ell_2 1\)-normlocal preserving

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Computer science (68-XX)

Cites Work

• Matching theory
• Subspace learning for unsupervised feature selection via matrix factorization
• Reducing the Dimensionality of Data with Neural Networks
• 10.1162/153244303322753616
• An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

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