Study on swarm optimization clustering algorithm

Zuo Ying Liu and Xian Wen

Abstract

This article studies the application of swarm algorithm to fuzzy c-means clustering algorithm. The author proposes the fuzzy kernel hierarchical clustering algorithm based on swarm optimization. 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 weaknesses of FCM algorithm.