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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2016-08-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868723/view |