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

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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Bibliographic Details
Main Authors: Hongbo Wang, Jinyu Zhang, Yu Shen, Siqi Wang, Bo Deng, Wentao Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Density peak clustering
Natural nearest neighbors
Manifold distance
Network intrusion detection
Online Access:https://doi.org/10.1038/s41598-025-92509-4
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