A survey of genetic algorithms for clustering: Taxonomy and empirical analysis

Clustering, an unsupervised learning technique, aims to group patterns into clusters where similar patterns are grouped together, while dissimilar ones are placed in different clusters. This task can present itself as a complex optimization problem due to the extensive search space generated by all...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 91; p. 101720
Main Authors:	Robles-Berumen, Hermes, Zafra, Amelia, Ventura, Sebastián
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2024
Subjects:	Clustering Experimental study Genetic algorithms Clustering Experimental study Genetic algorithms
ISSN:	2210-6502
Online Access:	Get full text
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