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As the number of web pages grows, it becomes more difficult to find the relavant documents from the information retrieval engines, so by using clustering concept, the authors can find the grouped relavant documents. The main purpose of clustering techniques is to partitionate a set of entities into different groups, called clusters. These groups may be consistent in terms of similarity of its members. As the name suggests, the representative-based clustering techniques uses some form of representation for each cluster. Thus, every group has a member that represents it. The main use is to reduce the cost of the algorithm, the use of representatives makes the process easier to understand.
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