Абстрактный

Study on bee colony optimization clustering algorithm

ZuoYing Liu, XianWen Luo

This paper studies the application of bee colony algorithm in the fuzzy C means clustering algorithm.. The fuzzy kernel clustering algorithm based on colony optimization. The main improvement is based on the kernel method. This improved algorithm uses the kernel function method and the cut set factor is added to it. The algorithm optimizes the target performance function and uses binary tree split method to cluster data sample what. The experimental results show that the algorithm can effectively overcome the shortcomings of the FCM algorithm.