DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification
An oversampling algorithm based on density peak clustering is proposed to solve the problem of noise and imbalance among classes in imbalanced data sets. Firstly, most of the samples are preprocessed, and the noise samples are screened and deleted. Secondly , the algorithm adopts density peak cluste...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
Harbin University of Science and Technology Publications
2024-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2382 |
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