A Note on Fuzzy Clustering Based on Optimization of Objective Function with PSO

Abstract

Clustering is the process of organizing similar objects into groups, with its main objective of organizing a collection of data items into some meaningful groups. The problem of clustering has been approached from different disciplines during the last few years. Many algorithms have been developed in recent years for solving problems of numerical and combinatorial optimization problems. Most promising among them are swarm intelligence algorithms. Clustering with PSO is emerging as an alternative to more conventional clustering techniques because of its capability to find global optima. Fuzzy clustering with PSO algorithm have recently been shown to produce good results in a wide variety of real-world data. In this paper, a survey on fuzzy clustering based on optimization of objective function with PSO is described.