Subspace learning for unsupervised feature selection via matrix factorization

Shiping Wang; Witold Pedrycz; Qingxin Zhu; William Zhu

doi:10.1016/j.patcog.2014.08.004

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Subspace learning for unsupervised feature selection via matrix factorization

Shiping Wang Witold Pedrycz Qingxin Zhu William Zhu

Year: 2014 Journal: Pattern Recognition Vol: 48 (1)Pages: 10-19 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2014.08.004

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Keywords:

Computer science Dimensionality reduction Feature selection Pattern recognition (psychology) Cluster analysis Artificial intelligence Kernel (algebra) Feature extraction Matrix decomposition Curse of dimensionality Feature learning Minimum redundancy feature selection Machine learning Non-negative matrix factorization Feature (linguistics) Data mining Mathematics

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Subspace learning for unsupervised feature selection via matrix factorization

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