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

Conference: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
03/25/2022 - 03/27/2022 at Wuhan, China

Proceedings: CIBDA 2022

Pages: 6Language: englishTyp: PDF

Authors:
Zhang, Qian (Jiangnan University, Faculty of Science, Jiangsu, Wuxi, China)

Abstract:
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.