I researched on data clustering in PSO and came to know that PSO has many variants..I implemented the gbest PSO whose pseudocode is in image PSO_Impl.jpeg. Now I came across the FCM-PSO algorithm (Image PSO_FCM). Does anyone have idea that both the PSO variants are same or different.How it is different with parameters.Another variant is also given in PSO_FCM1 image.

Combination of Fuzzy C-Means and Particle Swarm Optimization for Text Document Clustering, Springer, 2012(PSO_FCM1)

Particle Swarm Optimization for Fuzzy c-Means Clustering, IEEE, 2006 (PSO_FCM)

SNAPSHOT OF CODE(PSO):

g2[0] = fun(gbest[j], gbest[j + 1], gbest[j + 2], gbest[j + 3], gbest[j + 4], gbest[j + 5], gbest[j + 6], gbest[j + 7], gbest[j + 8], gbest[j + 9], gbest[j + 10], gbest[j + 11], gbest[j + 12], gbest[j + 13], gbest[j + 14], gbest[j + 15], gbest[j + 16], gbest[j + 17], gbest[j + 18], gbest[j + 19], gbest[j + 20], gbest[j + 21], gbest[j + 22], gbest[j + 23], gbest[j + 24], gbest[j+25]);

System.out.println("Intra cluster distance ...... ....." + g2[0]);

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