An Optimizing Search Based on Kernel-Based Fuzzy C-Means Clustering

With the rapid growth of Internet, the network resource is increasing explosively. Information retrieval is one of main purposes as we browse Internet. At present, there are many retrieval methods and retrieval tools in information retrieval field, users can use all of these avenues to retrieve information. But how to increase the rapidity and precision has become the hotpot in this field. In this paper, an optimizing clustering search based on the research at present is presented. The algorithm of clustering is applied to the results which are returned by search engine, then modify the relevance of clustering results and query terms according to users´ click through data, optimizing the query results.