Improved Density Peak Clustering Algorithm Based on Choosing Strategy Automatically for Cut-off Distance and Cluster Centre

Improved Density Peak Clustering Algorithm Based on Choosing Strategy Automatically for Cut-off Distance and Cluster Centre

Due to the defect of quick search density peak clustering algorithm required an artificial attempt to determine the cut-off distance and circle the clustering centres, density peak clustering algorithm based on choosing strategy automatically for cut-off distance and cluster center (CSA-DP) is propo...

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Bibliographic Details
Main Authors: Limin Wang, Mingyang Li, Xuming Han, Ruihong Zhou, Kaiyue Zheng, Meihan Liu
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2018-01-01
Series:Tehnički Vjesnik
Subjects:
clustering center
cut-off distance
Density Peak Clustering Algorithm
maximum density
similarity
Online Access:https://hrcak.srce.hr/file/293212

Internet

https://hrcak.srce.hr/file/293212

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