Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization
We present two new hybrids of FCM and improved self-adaptive PSO. The methods are based on the FCMPSO algorithm. We use FCM to initialize one particle to achieve better results in less iterations. The new methods are compared to FCMPSO using many real and synthetic datasets. The proposed methods consistently outperform FCMPSO in three evaluation metrics.
fuzzy clustering fuzzy c-means improved particle swarm optimization adaptive weights