关键词: K-Means算法, 参数初始化, 高斯混合模型, 流量聚类

Abstract: Based on the cluster algorithm may make classification on multiple attributes , this paper proposes a clustering algorithm based on quick solution of GMM to study the classification of network traffic and achieve a better clustering effect. It is shown that it is more appropriate on traffic clustering than other algorithm. The simulation results with matlab indicate that this method is of excellent clustering precision and after the initial clustering center of the EM algorithm, it has a better accuracy of cost estimation to solve GMM, and effectively raises the convergence speed of the EM algorithm.

Key words: K-Means algorithm, parameters initialization, Gaussian Mixture Model（GMM）, traffic clustering