Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data

Adrian Pino Angulo; Kilho Shin

doi:10.1007/s10489-018-1381-1

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Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data

Adrian Pino Angulo Kilho Shin

Year: 2018 Journal: Applied Intelligence Vol: 49 (5)Pages: 1954-1967 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-018-1381-1

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Keywords:

Feature selection Computer science Minimum redundancy feature selection Algorithm Redundancy (engineering) Feature (linguistics) Filter (signal processing) Artificial intelligence Pattern recognition (psychology) Machine learning Data mining

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data

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