Research Article
A Fuzzy based Document Clustering Algorithm
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 151 - Issue 10 |
| Published: Oct 2016 |
| Authors: Kabita Thaoroijam, A. Kakoti Mahanta |
10.5120/ijca2016911923
|
Kabita Thaoroijam, A. Kakoti Mahanta . A Fuzzy based Document Clustering Algorithm. International Journal of Computer Applications. 151, 10 (Oct 2016), 21-24. DOI=10.5120/ijca2016911923
@article{ 10.5120/ijca2016911923,
author = { Kabita Thaoroijam,A. Kakoti Mahanta },
title = { A Fuzzy based Document Clustering Algorithm },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 151 },
number = { 10 },
pages = { 21-24 },
doi = { 10.5120/ijca2016911923 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Kabita Thaoroijam
%A A. Kakoti Mahanta
%T A Fuzzy based Document Clustering Algorithm%T
%J International Journal of Computer Applications
%V 151
%N 10
%P 21-24
%R 10.5120/ijca2016911923
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Document clustering is an automatic grouping of text documents into clusters so that documents within a cluster have high similarity values among one another, but dissimilar to documents in other clusters. It has wide applications in areas such as search engines, web mining, information retrieval and topological analysis. This paper presents a new document clustering algorithm using the concept of fuzzy sets, where each cluster is viewed as a fuzzy set over some finite universal set. The algorithm was implemented and the results are reported. The efficiency and time complexity of the algorithm have also been discussed.
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