Dual-dual subspace learning with low-rank consideration for feature selection

DOI10.1016/J.PHYSA.2024.129997MaRDI QIDQ6608256

Mahdi Bidar, Amir Moslemi

Publication date: 19 September 2024

Published in: Physica A (Search for Journal in Brave)

zbMATH Keywords

regularizationnonnegative matrix factorizationlow-rankunsupervised feature selection

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Exact minimum rank approximation via Schatten \(p\)-norm minimization
• Matching theory
• Wrappers for feature subset selection
• A trace inequality of John von Neumann
• Subspace learning for unsupervised feature selection via matrix factorization
• A survey on semi-supervised feature selection methods
• Minimization of $\ell_{1-2}$ for Compressed Sensing
• Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving
• Unsupervised feature selection through combining graph learning and \(\ell_{2, 0}\)-norm constraint

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