A Graph Adaptive Density Peaks Clustering algorithm for automatic centroid selection and effective aggregation

As a clustering approach based on density, Density Peaks Clustering algorithm (DPC) has conspicuous superiorities in searching and finding density peaks. Nevertheless, DPC has obvious deficiencies in centroid selection and aggregation process affected by differences in data shape and density distrib...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 195; p. 116539
Main Authors:	Xu, Tengfei, Jiang, Jianhua
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.06.2022 Elsevier BV
Subjects:	Agglomeration Algorithms Centroid selection Centroids Clustering Density distribution Density Peaks Clustering algorithm (DPC) GA-DPC Graph Theory 68T10 00-01 Density Peaks Clustering algorithm (DPC) GA-DPC Graph Theory Centroid selection
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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