Document Clustering using message passing between data points

This paper presents an efficient approach for Document Classification based on FDCKE. The paper introduces a new Framework for Document Classification and Knowledge Extraction (FDCKE). The FDCKE approach is an integration of document classification phases like document collection from heterogeneous sources, Text Pre-processing of the documents, Feature Selection, Indexing, Classification Process, Results Analysis and Performance Measures. The proposed FDCKE is a unified interface that can be used for Classification, Association and Clustering. Twenty News group data sets [23] are used in the Experiments. The performance evaluation of Experimental Results done by SAS Software. The Experimental Results show that the proposed approach out performs.