Feature selection based on dynamic crow search algorithm for high-dimensional data classification-Reference-Cited by-同舟云学术

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Feature selection based on dynamic crow search algorithm for high-dimensional data classification

Published:2024-09 Issue: Volume:250 Page:123871
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Jiang He,Yang Ye^ORCID,Wan Qiuying,Dong Yao

Publisher

Elsevier BV

Reference72 articles.

1. Effective feature selection strategy for supervised classification based on an improved binary aquila optimization algorithm;Abd El-Mageed;Computers & Industrial Engineering,2023

2. Feature selection based on a crow search algorithm for big data classification;Al-Thanoon;Chemometrics and Intelligent Laboratory Systems,2021

3. Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems;Anter;Soft Computing,2020

4. Binary butterfly optimization approaches for feature selection;Arora;Expert Systems with Applications,2019

5. A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm;Askarzadeh;Computers and Structures,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancement of the performance of high-dimensional fuzzy classification with feature combination optimization;Information Sciences;2024-10

2. IRIME: Mitigating exploitation-exploration imbalance in RIME optimization for feature selection;iScience;2024-08

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