Computing vectors based document clustering and numerical result analysis

Abstract

This paper presents new approach analytical results of document clustering for vectors. The proposed analytical results of document clustering for vectors approach is based on mean clusters. In this paper we have used six iterations I1 to I6 for document clustering results. The steps Document collection, Text Preprocessing, Feature Selection, Indexing, Clustering Process and Results Analysis are used. Twenty news group data sets are used in the experiments. The experimental results are evaluated using the numerical computing MATLAB 7.14 software. The experimental results show the proposed approach out performs.