Internet Traffic Classification based on Fuzzy Kernel K-means Clustering
Chengjie Gu, Shunyi Zhang, Xiaozhen Xue · International Journal of Advancements in Computing Technology · 2011
Internet traffic classification based on flow statistics using machine learning method has attracted great attention. To solve the drawback of the fuzzy K-Means clustering algorithm to meet the requirements of the Internet network classification, we propose Internet traffic classification based on fuzzy kernel K-Means clustering. This method overcomes the dependence of clustering algorithm on sample distribution form. Experiment results illustrate this method can eliminate the influence of the shape of sample space on clustering accuracy. It also can classify Internet network traffic with high accuracy.