A robust hierarchical clustering algorithm for automatic identification of clusters

Aggregation-based hierarchical clustering algorithms are widely used in data analysis due to their robust clustering performance. Although some existing hierarchical clustering methods can identify the number of clusters in a dataset, most are only effective for well-separated clusters and struggle...

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Bibliographic Details

Published in:	Applied intelligence (Dordrecht, Netherlands) Vol. 55; no. 7; p. 497
Main Authors:	Long, Jianwu, Wang, Qiang, Liu, Luping
Format:	Journal Article
Language:	English
Published:	Boston Springer Nature B.V 01.05.2025
Subjects:	Algorithms Cluster analysis Clustering Data analysis Datasets Density Graph theory K-nearest neighbors algorithm Noise reduction Robustness (mathematics) Synthetic data
ISSN:	0924-669X, 1573-7497
Online Access:	Get full text
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