A novel feature selection method based on normalized mutual information

La The Vinh; Sungyoung Lee; Young-Tack Park; Brian J. d’Auriol

doi:10.1007/s10489-011-0315-y

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A novel feature selection method based on normalized mutual information

La The Vinh Sungyoung Lee Young-Tack Park Brian J. d’Auriol

Year: 2011 Journal: Applied Intelligence Vol: 37 (1)Pages: 100-120 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-011-0315-y

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Keywords:

Mutual information Computer science Feature selection Pattern recognition (psychology) Support vector machine Artificial intelligence Normalization (sociology) Redundancy (engineering) k-nearest neighbors algorithm Relevance (law) Data mining Linear discriminant analysis Machine learning Discriminant Minimum redundancy feature selection

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A novel feature selection method based on normalized mutual information

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