Kernel clustering algorithm for Web clients
YE Miao-qun · Journal of Ningbo Polytechnic · 2008
A clustering algorithm is proposed for cluster analysis in this paper.We adopt the traditional clustering methods and the kernel technique to construct our kernel clustering algorithm.By using kernel functions,we can map the data in the original space to a high dimension feature space in which we can use the k-medoids clustering algorithm,and we adopt the best by computing the distance.The features of kernel clustering algorithm are accurate in clustering,compared with classical clustering algorithms.Experiments of customers clustering show the effectiveness of the algorithm.