Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection
Feature selection is an important preprocessing step in pattern classification and machine learning, and mutual information is widely used to measure relevance between features and decision. However, it is difficult to directly calculate relevance between continuous or fuzzy features using mutual in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2011-08-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2353.pdf |