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Authors Name: Patil Pravin Ishwar , Prof. Gajendra Singh
Unique Id: IJSDR1604049
Published In: Volume 1 Issue 4, April-2016
Abstract: Clustering analysis is a vibrant field of research intelligence and data mining. The fundamental concept of clustering analysis lies in using its salient characteristics to calculate the degree of similar relationships among objects and attaining automatic classification. In the recent years, clustering of data in large data sets has become a rallying area of research and it is gaining momentum. Clustering of document is important 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 comprehensive survey over the document clustering.
Cite Article: "A COMPREHENSIVE SURVEY OF THE EXISTING TEXT CLUSTERING TECHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.291 - 293, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604049.pdf
Downloads: 0001958
Publication Details: Published Paper ID: IJSDR1604049
Registration ID:160202
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 291 - 293
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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