Feature selection based on fuzzy joint mutual information maximization

Feature selection based on fuzzy joint mutual information maximization

Nowadays, real-world applications handle a huge amount of data, especially with high-dimension features space. These datasets are a significant challenge for classification systems. Unfortunately, most of the features present are irrelevant or redundant, thus making these systems inefficient and ina...

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Bibliographic Details
Main Authors: Omar A. M. Salem, Feng Liu, Ahmed Sobhy Sherif, Wen Zhang, Xi Chen
Format: Article
Language:English
Published: AIMS Press 2021-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
mutual information
fuzzy sets
fuzzy mutual information
feature selection
classification systems
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021016?viewType=HTML

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http://www.aimspress.com/article/doi/10.3934/mbe.2021016?viewType=HTML

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