International Journal of Computer Science & Engineering Technology (IJCSET)
To browse and organize documents smoothly, hierarchical clustering techniques have proposed to cluster a collection of documents into hierarchical tree structure. Text document are tremendously increasing in the internet, the hierarchical document clustering has proven to be useful in grouping similar document for large applications. Still most documents suffer from problems of high dimensionality, scalability, accuracy and meaningful cluster labels. In this paper, an new approach fuzzy frequent itemsets based hierarchical clustering is proposed, in which fuzzy association rule mining algorithm is used to improve the clustering accuracy.