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...

Descripción completa

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

Internet

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

Ejemplares similares