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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Vydané v:	Swarm and evolutionary computation Ročník 91; s. 101720
Hlavní autori:	Robles-Berumen, Hermes, Zafra, Amelia, Ventura, Sebastián
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Clustering Experimental study Genetic algorithms Clustering Experimental study Genetic algorithms
ISSN:	2210-6502
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