K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions

K-means clustering algorithm is a partitional clustering algorithm that has been used widely in many applications for traditional clustering due to its simplicity and low computational complexity. This clustering technique depends on the user specification of the number of clusters generated from th...

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Vydáno v:	Applied sciences Ročník 11; číslo 23; s. 11246
Hlavní autoři:	Ikotun, Abiodun M., Almutari, Mubarak S., Ezugwu, Absalom E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.12.2021
Témata:	Algorithms automatic clustering Bibliometrics Cluster analysis Clustering Data mining Datasets Hybridization K-means clustering Mathematical programming nature-inspired metaheuristic algorithms Optimization techniques Research methodology Trends
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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