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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: An Enhanced and Improved Methodology for performing Document Clustering
Authors Name: Aayushi rathore , Prof. Balwant Prajapat
Unique Id: IJSDR1705023
Published In: Volume 2 Issue 5, May-2017
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
Keywords: Document clustering, preprocessing, improved clustering method, term frequency, Euclidian distance
Cite Article: "An Enhanced and Improved Methodology for performing Document Clustering", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.118 - 121, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705023.pdf
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Publication Details: Published Paper ID: IJSDR1705023
Registration ID:170277
Published In: Volume 2 Issue 5, May-2017
DOI (Digital Object Identifier):
Page No: 118 - 121
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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