Density peaks clustering algorithm integrating manifold distance and mutual nearest neighbors

•A new density metric calculated using mutual nearest neighbors is proposed to eliminate density disparities between clusters.•The improved manifold distance is proposed to identify weak connections between clusters, allowing true cluster centers to be accurately identified in the decision graph.•Di...

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Veröffentlicht in:	Pattern recognition Jg. 172; S. 112554
Hauptverfasser:	Deng, Cai, Zhang, Qinghua, Zhou, Xinran, Zhang, Siyang, Wang, Guoyin, Xu, Weihua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2026
Schlagworte:	Connectivity Density peaks clustering Mutual nearest neighbors Proportional weights Proportional weights Connectivity Mutual nearest neighbors Density peaks clustering
ISSN:	0031-3203
Online-Zugang:	Volltext
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