Cat Swarm optimization (CSO) is one in every of the new heuristic optimization algorithms that supported swarm intelligence. Previous analysis shows that this algorithmic program has higher performance compared to the opposite heuristic optimization algorithms: Particle Swarm optimization (PSO) and weighted-PSO within the cases of perform diminution. During this analysis a brand new CSO algorithmic program for bunch drawback is projected. The new CSO bunch algorithmic program was tested on four totally different datasets. The modification is created on the CSO formula to get higher results. Then, the accuracy level of projected algorithmic program was compared to those of K-means and PSO bunch. The modification of CSO formula will improve the performance of CSO bunch. The comparison indicates that CSO bunch may be thought-about as a sufficiently correct bunch technique.
