Survey of particle swarm clustering algorithms
粒子群聚类算法综述

Clustering analysis is one of the important data mining techniques that can discover hidden modes by unsupervised learning and has the ability of acquiring knowledge independently. This paper presented an all-around introduction of PSO-based clustering methods in existing literatures, described the basic principles and the characteristics of the existing popular particle swarm clustering algorithms, and made the comparison about their merits and demerits. Then summarized the applications of particle swarm clustering algorithms. Finally, pointed out the future research directions of particle swarm clustering algorithms.