Best Approximate of Vector Space Model by Using SVD
A quick growth of internet technology makes it easy to assemble a huge volume of data as text document; e. g. journals, blogs, network pages, articles, email letters. In text mining application, increasing text space of datasets represent excessive task which makes it hard to pre processing documents in efficient way to prepare it for text mining application like document clustering. The proposed system focuses on pre processing document and reduction document space technique to prepare it for clustering technique. The mutual method for text mining problematic is vector space model (VSM) each term represent a features. Thus the proposed system create vector space mod el by using pre processing method to reduce of trivial data from dataset. While the hug dimen sionality of VSM is resolved by using low rank SVD. Experiment results show that the proposed system give better document representation results about 10% from previous approach to prepare it for document clustering