DBHC: A DBSCAN-based hierarchical clustering algorithm

Clustering is the process of partitioning objects of a dataset into some groups according to similarities and dissimilarities between its objects. DBSCAN is one of the most important clustering algorithms in the density based approach of clustering. In spite of the numerous advantages of the DBSCAN...

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Bibliographic Details

Published in:	Data & knowledge engineering Vol. 135; p. 101922
Main Authors:	Latifi-Pakdehi, Alireza, Daneshpour, Negin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2021
Subjects:	Clustering DBSCAN Density based clustering Hierarchical clustering DBSCAN Density based clustering Clustering Hierarchical clustering
ISSN:	0169-023X, 1872-6933
Online Access:	Get full text
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