A Novel Density Peaks Clustering Algorithm with Isolation Kernel and K-Induction

Density peaks clustering (DPC) algorithm can process data of any shape and is simple and intuitive. However, the distance between any two high-dimensional points tends to be consistent, which makes it difficult to distinguish the density peaks and easily produces “bad label” delivery. To surmount th...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Shichen Zhang, Kai Li
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Subjects:	DPC high-dimensional data three-way clustering isolation kernel K-induction
Online Access:	https://www.mdpi.com/2076-3417/13/1/322