Paper Title

An Enhanced and Improved Methodology for performing Document Clustering

Authors

Aayushi rathore , Prof. Balwant Prajapat

Keywords

Document clustering, preprocessing, improved clustering method, term frequency, Euclidian distance

Abstract

Keeping similar documents together is crucial for the purpose of document organization, summarization, topic extraction and information retrieval in an efficient way. Initially, clustering is applied for enhancing the information retrieval techniques. Of late, clustering techniques have been applied in the areas which involve browsing the gathered data or in categorizing the outcome provided by the search engines for the reply to the query raised by the users. In this paper, we are providing a methodology for more accurate document clustering. The experimental results have shown that the clustering accuracy cum purity of the proposed technique is better than that of the present clustering technique

How To Cite

"An Enhanced and Improved Methodology for performing Document Clustering", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.118 - 121, May-2017, Available :https://ijsdr.org/papers/IJSDR1705023.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 118 - 121

Other Publication Details

Paper Reg. ID: IJSDR_170277

Published Paper Id: IJSDR1705023

Downloads: 000347029

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705023

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705023

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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