Fuzzy Rough Set Feature Selection Based on Inconsistent Nearest Neighbors
Fuzzy rough sets can break the limitation of classical rough sets that can only handle discrete data, effectively selecting features for continuous numerical values. However, they are object-centered and have high time complexity, rendering the handling of high-dimensional and large-scale data diffi...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Editorial Office of Computer Engineering
2024-01-01
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| Serie: | Jisuanji gongcheng |
| Soggetti: | |
| Accesso online: | https://www.ecice06.com/fileup/1000-3428/PDF/20240111.pdf |
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