Improved density peak clustering with a flexible manifold distance and natural nearest neighbors for network intrusion detection

Abstract Recently, density peak clustering (DPC) has gained attention for its ability to intuitively determine the number of classes, identify arbitrarily shaped clusters, and automatically detect and exclude anomalies. However, DPC faces challenges as it considers only the global distribution, resu...

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Автори:	Hongbo Wang, Jinyu Zhang, Yu Shen, Siqi Wang, Bo Deng, Wentao Zhao
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Nature Portfolio 2025-03-01
Серія:	Scientific Reports
Предмети:	Density peak clustering Natural nearest neighbors Manifold distance Network intrusion detection
Онлайн доступ:	https://doi.org/10.1038/s41598-025-92509-4
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