On The World Wide Web Search Engine Returns The Results Of Fuzzy Clustering Study

Today,search engines are the most commonly used tools for Web information retrieval. However,their current status is still far from user's satisfaction.lt includes:(1) The content that search engine returns is a enormous flat bill (information overloading question);(2) The items return with search engine are not the content that user requisite in deed(low precision question)This paper presents a fuzzy (soft) clustering algorithm HTSC (Hyperlink-Text based Soft Clustering) using a mixed similarity metric of document content and inter-document hyperlinks,for clustering Web search results from a search engine in order to help users find relevant Web information more easily. The main contributions of this paper include the following:(1) An effect method for computing inter-document similarities based on content and link analysis;(2) Identifying the advantages of fuzzy clustering methods in comparison with normal clustering methods,and presenting a fuzzy (soft) clustering algorithm HTSC base on a mixed similarity metric of content and link;(3) Theoretic analysis and preliminary experiments of the algorithm.