Subspace learning for unsupervised feature selection via matrix factorization

DOI10.1016/j.patcog.2014.08.004zbMath1373.68338OpenAlexW2015648984MaRDI QIDQ1677021

Shiping Wang, William Zhu, Qingxin Zhu, Witold Pedrycz

Publication date: 10 November 2017

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.08.004

zbMATH Keywords

kernel methodunsupervised learningmachine learningmatrix factorizationfeature selectionsubspace distance

Mathematics Subject Classification ID

Factorization of matrices (15A23) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Deep random walk of unitary invariance for large-scale data representation ⋮ Global and local structure preserving sparse subspace learning: an iterative approach to unsupervised feature selection ⋮ Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving ⋮ COMPARISON OF TWO METHODS FOR GENERATING THE COALITIONS OF CLASSIFIERS AND TWO METHODS FOR REDUCING DIMENSIONALITY IN A DISPERSED DECISION-MAKING SYSTEM ⋮ Rough set methods in feature selection via submodular function ⋮ An efficient semi-supervised representatives feature selection algorithm based on information theory

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