Feature selection using fuzzy entropy measures and similarity
Removes a feature from data file which it considers havining least amount of relevant information.
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This code removes a feature from data file which it considers bearing least amount of relevant information.
It's usage intended to classification problems. It is based on fuzzy measures and similarity. Much wider description, explanation and some results can be found in article:
P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with
Similarity Classifier, Expert Systems with Applications, 38, pp.
4600-4607.
Cite As
Pasi Luukka (2026). Feature selection using fuzzy entropy measures and similarity (https://uk.mathworks.com/matlabcentral/fileexchange/31366-feature-selection-using-fuzzy-entropy-measures-and-similarity), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (3.22 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
