Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository-Reference-Cited by-同舟云学术

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Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository

Published:2024-10 Issue: Volume:301 Page:112345
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Nematzadeh Hossein^ORCID,García-Nieto José^ORCID,Navas-Delgado Ismael^ORCID,Aldana-Montes José F.^ORCID

Publisher

Elsevier BV

Reference23 articles.

1. Classification of microarray data;Sánchez-Maroño,2019

2. Hybrid binary coral reefs optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical datasets;Yan;Chemometr. Intell. Lab. Syst.,2019

3. GENEmops: Supervised feature selection from high dimensional biomedical dataset;Agarwalla;Appl. Soft Comput.,2022

4. Boolean particle swarm optimization with various evolutionary population dynamics approaches for feature selection problems;Thaher;Expert Syst. Appl.,2022

5. Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review;Osama;Expert Syst. Appl.,2023

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