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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0130995 |