A simplex method-based social spider optimization algorithm for clustering analysis

Clustering is a popular data-analysis and data-mining technique that has been addressed in many contexts and by researchers in many disciplines. The K-means algorithm is one of the most popular clustering algorithms because of its simplicity and easiness in application. However, its performance depe...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 64; s. 67 - 82
Hlavní autoři:	Zhou, Yongquan, Zhou, Yuxiang, Luo, Qifang, Abdel-Basset, Mohamed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2017
Témata:	Benchmark datasets Clustering analysis Meta-heuristic algorithm Simplex method Social-spider optimization algorithm Clustering analysis Benchmark datasets Meta-heuristic algorithm Social-spider optimization algorithm Simplex method
ISSN:	0952-1976, 1873-6769
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