An Enhanced and Improved Methodology for performing Document Clustering
Aayushi rathore
, Prof. Balwant Prajapat
Document clustering, preprocessing, improved clustering method, term frequency, Euclidian distance
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
"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
Volume 2
Issue 5,
May-2017
Pages : 118 - 121
Paper Reg. ID: IJSDR_170277
Published Paper Id: IJSDR1705023
Downloads: 000347029
Research Area: Engineering
Country: -, -, India
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