Fuzzy C-Means Clustering Algorithm Based on Improved Wolf Pack Algorithm

Inhalt:
According to the problem that the Fuzzy C-Means (FCM) clustering algorithm has a high dependence on the initial cluster center, an improved swarm intelligence algorithm is used to optimize it. In this paper, a FCM clustering algorithm based on the improved wolf pack algorithm based on simulated annealing (SA) algorithm is proposed. The algorithm achieves better clustering effect by optimizing the initial clustering center of FCM. The experimental results show that the algorithm can be effectively applied to data clustering problems.