期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：1
页码：10175-10179
出版社：IJECS
摘要：the use of internet has increased exponentially. Search engines have become most important tool to retrieve any kind ofinformation from the web. Users simply cast their queries on a search engine to get the desired information. More than thousands ofdocuments are shown in search results of a query. Many times most of these web pages are not relevant to the user at all. Thus, it becomesessential for search engines to return only the relevant information to the user based on the query. Clustering makes it easier to separate outrelevant results out of thousands of search results obtained for a query. Combining clustering with ranking can make it better as clusteringmakes groups of similar documents and applying ranking methods ranks each cluster according to their relevance with the user query. Inthis survey, various clustering techniques implemented before and their results are discussed. Some recent techniques discussed here areproven much more accurate than the traditional techniques.
