A multi-threaded particle swarm optimization-kmeans algorithm based on MapReduce

The particle swarm optimization-K-Means algorithm is proposed by the related researchers to improve the clustering accuracy of the K-Means algorithm. However, the particle swarm optimization-K-Means algorithm brings more burden to the computation, and the computational efficiency is low when dealing...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Cluster computing Jg. 27; H. 6; S. 8031 - 8044
Hauptverfasser:	Wang, Xikang, Wang, Tongxi, Xiang, Hua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2024 Springer Nature B.V
Schlagworte:	Clustering Computational efficiency Computer Communication Networks Computer Science Computing time Datasets Efficiency Evolutionary algorithms Genetic algorithms Nodes Operating Systems Optimization algorithms Parallel processing Particle swarm optimization Processor Architectures Velocity K-means algorithm Particle swarm optimization Muti-threading MapReduce
ISSN:	1386-7857, 1573-7543
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!