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Feature selection using fuzzy entropy measures and similarity

version 1.0.0.0 (3.22 KB) by Pasi Luukka
Removes a feature from data file which it considers havining least amount of relevant information.

1.7K Downloads

Updated 09 May 2011

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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 (2022). Feature selection using fuzzy entropy measures and similarity (https://www.mathworks.com/matlabcentral/fileexchange/31366-feature-selection-using-fuzzy-entropy-measures-and-similarity), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
Platform Compatibility
Windows macOS Linux

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