关键词: 萤火虫算法, 模糊聚类, 模糊C-均值聚类

Abstract: For local optimum and initial sensitive problems with fuzzy C-means clustering, a new fuzzy clustering algorithm based on firefly algorithm is proposed. By incorporating the capacities of local and global search of firefly algorithm and FCM, taking the optimal clustering center of firefly algorithm as the initialized value of the FCM, and then clustering analysis is processed by FCM. The new algorithm overcomes FCM trapped local optimum and being sensitive to initial value effectively, and enhances the capacity of local search of firefly algorithm. The experimental results show that the new algorithm not only has better global search capacity and faster convergence speed but also has better clustering efficiency.

Key words: firefly algorithm, fuzzy clustering, fuzzy C-means clustering