A Clustering Algorithm Based on the Detection of Density Peaks and the Interaction Degree Between Clusters

A Clustering Algorithm Based on the Detection of Density Peaks and the Interaction Degree Between Clusters

In order to cope with data with an irregular shape and uneven density, this paper proposes a two-phase clustering algorithm based on detecting the peaks of dimensional density and the degree of interaction between clusters (CPDD-ID). In the partitioning phase, the local densities of the data in all...

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Bibliographic Details
Main Authors: Yangming Liu, Jiaman Ding, Hongbin Wang, Yi Du
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
clustering
density peak
intersection
shared neighbor
similarity metric
Online Access:https://www.mdpi.com/2076-3417/15/7/3612
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