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. M...

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Bibliographic Details
Main Authors: Ahmad Abubaker, Adam Baharum, Mahmoud Alrefaei
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0130995