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Automatic Clustering Using Multi-objective Particle Swarm and Simulated Annealing

This paper puts forward a new automatic clustering algorithm based on Multi-Objective Particle Swarm Optimization and Simulated Annealing, “MOPSOSA”. The proposed algorithm is capable of automatic clustering which is appropriate for partitioning datasets to a suitable number of clusters. MOPSOSA com...

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Detalles Bibliográficos
Autores principales:	Abubaker, Ahmad, Baharum, Adam, Alrefaei, Mahmoud
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488466/ https://www.ncbi.nlm.nih.gov/pubmed/26132309 http://dx.doi.org/10.1371/journal.pone.0130995

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