Automatic Clustering Using Multi-objective Particle Swarm and Simulated Annealing
نویسندگان
چکیده
منابع مشابه
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 combines the features of the multi-objective based particle swarm optimization (PSO) and the Multi-O...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0130995