Interscience Open Access Journals
This paper presents clustering based document classification and analysis of data. The proposed clustering based classification and analysis of data approach is based on unsupervised and supervised document classification. In this paper unsupervised document and supervised document classification are used. In this approach document collection, text preprocessing, feature selection, indexing, clustering process and results Analysis steps are used. Twenty news group data sets are used in the experiments. For experimental results analysis evaluated using the analytical SAS 9.0 software is used. The experimental results show the proposed approach out performs.