Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization

Fan Yang; Jianhua Dai; Siqi Xu

doi:10.1007/978-3-030-36718-3_46

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Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization

Fan Yang Jianhua Dai Siqi Xu

Year: 2019 Lecture notes in computer science Pages: 549-560 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-36718-3_46

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Keywords:

Computer science Redundancy (engineering) Minification Feature selection Matrix decomposition Factorization Selection (genetic algorithm) Artificial intelligence Pattern recognition (psychology) Algorithm Programming language

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization

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