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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Bibliographic Details

Published in:	Pattern recognition Vol. 172; p. 112554
Main Authors:	Deng, Cai, Zhang, Qinghua, Zhou, Xinran, Zhang, Siyang, Wang, Guoyin, Xu, Weihua
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2026
Subjects:	Connectivity Density peaks clustering Mutual nearest neighbors Proportional weights Proportional weights Connectivity Mutual nearest neighbors Density peaks clustering
ISSN:	0031-3203
Online Access:	Get full text
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