A Novel Oversampling Method for Imbalanced Datasets Based on Density Peaks Clustering
Imbalanced data classification is a major challenge in the field of data mining and machine learning, and oversampling algorithms are a widespread technique for re-sampling imbalanced data. To address the problems that existing oversampling methods tend to introduce noise points and generate overlap...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/a2a5e7d3a4c74626ac5f5226553aa6ff |
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