Comparative study of EFCM algorithm

Clustering is a procedure through which objects are distinguished or classified in accordance with their similarity. A new clustering algorithm (EFCM) is proposed by extending the criterion function, which includes the well-known fuzzy c-means method as its special case. Convergence of EFCM algorithm is also proposed in this paper. Numerical experiments show that the new clustering algorithm is less sensitive than the traditional FCM method and robust to outliers.