The Clustering Algorithm Based on Particle Swarm Optimization Algorithm

After analyzing the disadvantages of the classical K-means clustering algorithm, this paper combines the core idea of K-means clustering method with PSO algorithm and proposes a new clustering method which is called clustering algorithm based on particle swarm optimization algorithm. It uses the global optimization of PSO algorithm to make up the shortage of the clustering method. The algorithm is evaluated on Iris plants database. Results show that the algorithm is more effective and promising.