Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization
Feature selection is a preprocessing step for various classification tasks. Its objective is to identify the most optimal features in a dataset by eliminating redundant data while preserving the highest possible classification accuracy. Three improved binary Grey Wolf Optimization (GWO) approaches a...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2025-01-01
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| Schriftenreihe: | Applied Sciences |
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| Online-Zugang: | https://www.mdpi.com/2076-3417/15/2/489 |
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