Data clustering using particle swarm optimization

By D. V. D. Merwe, Andries Petrus Engelbrecht. The 2003 Congress on Evolutionary Computation, 2003. CEC '03., 2003

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A survey on nature inspired metaheuristic algorithms for partitional clustering (2014, methodology): “The hybrid algorithm based on K-means and PSO is proposed by van der Merwe and Engelhrecht [220] in 2003.”
Document clustering using particle swarm optimization (2005, methodology): “Merwe’s research [15] indicates that utilizing the PSO algorithm’s optimal ability, if given enough time, the PSO clustering algorithm could generate more compact clustering results from the low dimensional dataset than the traditional K-means clustering algorithm.”
Music-Inspired Harmony Search Algorithm (2009, methodology): “Particle swarm optimization (PSO) [44] is another computational intelligence method that has been applied to image clustering and other low dimensional datasets in [39, 45, 46] and to document clustering in [42].”
Ant-based and swarm-based clustering (2007, methodology): “In contrast to ( van der Merwe and Engelbrecht 2003 ), they use k -means also as a post-process.”