A Feature Selection Method Combining Filter and Wrapper Approaches for Medical Dataset Classification
The curse of dimensionality is a problem that arises in datasets containing high-dimensional features. One of the primary methods used to address this issue is feature selection (FS), an effective technique for reducing insignificant features in a dataset. In this study, a two-stage approach called...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
World Scientific Publishing
2025-11-01
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| Colección: | Vietnam Journal of Computer Science |
| Materias: | |
| Acceso en línea: | https://www.worldscientific.com/doi/10.1142/S2196888824500246 |
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