UkM: A Novel Undersampling Method Using Modified k-Medoids Algorithm
Learning from imbalanced data remains a persistent challenge in classification tasks, often resulting in biased model performance and poor generalization, particularly for the minority class. This study proposes a novel undersampling technique, UkM, which integrates a modified k-medoids clustering a...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11248890/ |
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