An ensemble hierarchical clustering algorithm based on merits at cluster and partition levels

•Designing an ensemble hierarchical clustering framework based on cluster consensus selection approach.•Aggregation of primary clusters using the clusters clustering technique as a consensus function.•Development of NMI robustness measure for calculating merit at cluster and partition levels.•Defini...

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Bibliographic Details

Published in:	Pattern recognition Vol. 136; p. 109255
Main Authors:	Huang, Qirui, Gao, Rui, Akhavan, Hoda
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2023
Subjects:	Cluster consensus Ensemble clustering Hyper-cluster Merit level Robustness measure Cluster consensus Robustness measure Hyper-cluster Merit level Ensemble clustering
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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