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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Vydáno v:	Expert systems with applications Ročník 195; s. 116539
Hlavní autoři:	Xu, Tengfei, Jiang, Jianhua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 01.06.2022 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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