A new graph based sequence clustering approach for news article retrieval system

During the past few years e-newspapers are becoming more ease and convenience in accessing timely information. It is presented in several independent news articles. The articles are very difficult to understand automatically by system, as the layout of the a newspaper page is geometrically difficult. The goal of the work is to design a system using multi perspective graph clustering algorithm. It creates the clusters of individual article to a very high degree and there should be few occurrence of misplaced articles.