AHA-3WKM: The optimization of K-means with three-way clustering and artificial hummingbird algorithm

Clustering, as an essential technique in unsupervised learning, plays a pivotal role in the fields of data mining and machine learning. However, the classic K-means clustering algorithm has intrinsic drawbacks such as sensitivity to initial cluster centers, susceptibility to a local optimal solution...

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Veröffentlicht in:	Information sciences Jg. 672; S. 120661
Hauptverfasser:	Chen, Xiying, Liu, Caihui, Lin, Bowen, Lai, Jianying, Miao, Duoqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2024
Schlagworte:	Artificial hummingbird algorithm Cluster centers Fitness function K-means clustering Three-way clustering Three-way clustering Artificial hummingbird algorithm Fitness function Cluster centers K-means clustering
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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