A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems

Currently Mutual Information has been widely used in pattern recognition and feature selection problems. It may be used as a measure of redundancy between features as well as a measure of dependency evaluating the relevance of each feature. Since marginal densities of real datasets are not usually k...

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Bibliographic Details
Main Authors: Frederico Coelho, Antonio P. Braga, Michel Verleysen
Format: Article
Language:English
Published: Springer 2016-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868723/view