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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Vydané v:	Pattern recognition Ročník 136; s. 109255
Hlavní autori:	Huang, Qirui, Gao, Rui, Akhavan, Hoda
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2023
Predmet:	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
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