Density peaks clustering algorithm with circle-division sampling and reverse nearest neighbor optimization
The density peak clustering (DPC) algorithm has garnered significant attention in the research community because of its simple, intuitive, and efficient framework for identifying cluster centers in datasets. The core strength of the algorithm lies in its ability to discover clusters of arbitrary sha...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Chinês |
| Publié: |
Science Press
2026-01-01
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| Collection: | 工程科学学报 |
| Sujets: | |
| Accès en ligne: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2025.03.30.001 |
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