AN EFFICIENT ASSOCIATION RULE BASED HIERARCHICAL ALGORITHM FOR TEXT CLUSTERING

In this modern era, the amount of information available has become too large. But are we getting useful information still remain a question. Text clustering is one of the techniques that helps organize information and hence obtain information in a more efficient manner. This paper presents a new technique for clustering text documents based on association rule based systems. In this approach, the text documents are preprocessed and the association between the text files are found using Apriori algorithm. The associated text files are clustered using hierarchical clustering algorithm. The text files are also clustered using hierarchical algorithm. The results of both the methods are evaluated. The algorithms are tested on benchmark data set Reuters-21578. The experimental results prove that the Association Rule Based Hierarchical clustering method (ARBHC) produce better results and also improved cluster quality over hierarchical method. KEYWORDSText clustering, Association rule, Hierarchical algorithm, Apriori.