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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Bibliografski detalji

Glavni autori:	Jia ZHAO, Chaofan HE, Renbin XIAO, Hao CAO, Tanghuai FAN
Format:	Artigo
Jezik:	Chinês
Izdano:	Science Press 2026-01-01
Serija:	工程科学学报
Teme:	density peaks clustering circular grid sampling approximate k-nearest neighbors reverse nearest neighbors shared reverse nearest neighbors
Online pristup:	http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2025.03.30.001
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