A novel density peaks clustering algorithm based on k nearest neighbors for improving assignment process

Density Peaks Clustering (DPC) algorithm is a kind of density-based clustering approach, which can quickly search and find density peaks. However, DPC has deficiency in assignment process, which is likely to trigger domino effect. Especially, it cannot process some non-spherical data sets such as Sp...

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Bibliographic Details

Published in:	Physica A Vol. 523; pp. 702 - 713
Main Authors:	Jiang, Jianhua, Chen, Yujun, Meng, Xianqiu, Wang, Limin, Li, Keqin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2019
Subjects:	[formula omitted] nearest neighbors Density clustering algorithm Density peaks 68T10 k nearest neighbors Density peaks 00-01 Density clustering algorithm
ISSN:	0378-4371, 1873-2119
Online Access:	Get full text
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