A novel density deviation multi-peaks automatic clustering algorithm

A novel density deviation multi-peaks automatic clustering algorithm

Abstract The density peaks clustering (DPC) algorithm is a classical and widely used clustering method. However, the DPC algorithm requires manual selection of cluster centers, a single way of density calculation, and cannot effectively handle low-density points. To address the above issues, we prop...

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Bibliographic Details
Main Authors: Wei Zhou, Limin Wang, Xuming Han, Milan Parmar, Mingyang Li
Format: Article
Language:English
Published: Springer 2022-06-01
Series:Complex & Intelligent Systems
Subjects:
Automatic clustering
Density peaks clustering
Density deviation
Low-density points
Online Access:https://doi.org/10.1007/s40747-022-00798-3

Internet

https://doi.org/10.1007/s40747-022-00798-3

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