Metaheuristic algorithms for feature selection (2014–2024)
Feature selection is a process used during machine learning and data analysis, aimed at selecting the best features to increase model efficiency, decrease complexity, and increase readability. Metaheuristic algorithms are suited to provide solutions to feature selection problems because these proble...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
IGI Global
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46679/1/Metaheuristic%20Algorithms%20for%20Feature%20Selection.pdf https://doi.org/10.4018/IJAMC.397402 https://umpir.ump.edu.my/id/eprint/46679/ |
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