A Comprehensive Survey of the Existing Text Clustering Techniques |
Author(s): |
Purvi Khare , Shri Vaishnav Institute of Technology and Science,Indore; Pooja Jain, S.V.I.T.S,Indore |
Keywords: |
clustering, outcome, classification, technique, documents. |
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. |
Other Details |
Paper ID: IJSRDV3I31396 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3213-3215 |
Article Preview |
|
|