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Experimental analysis of firefly algorithms for divisive clustering of web documents

This paper studies two clustering algorithms that are based on the Firefly Algorithm (FA) which is a recent swarm intelligence approach.We perform experiments utilizing the Newton’s Universal Gravitation Inspired Firefly Algorithm (GFA) and Weight-Based Firefly Algorithm (WFA) on the 20_newsgroups d...

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Main Authors: Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza
Format: Article
Published: Springer International Publishing 2014
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/15450/
http://doi.org/10.1007/978-3-319-07692-8_46
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spelling my.uum.repo.154502016-05-22T07:46:56Z http://repo.uum.edu.my/15450/ Experimental analysis of firefly algorithms for divisive clustering of web documents Mohammed, Athraa Jasim Yusof, Yuhanis Husni, Husniza QA76 Computer software This paper studies two clustering algorithms that are based on the Firefly Algorithm (FA) which is a recent swarm intelligence approach.We perform experiments utilizing the Newton’s Universal Gravitation Inspired Firefly Algorithm (GFA) and Weight-Based Firefly Algorithm (WFA) on the 20_newsgroups dataset.The analysis is undertaken on two parameters.The first is the alpha (α) value in the Firefly algorithms and latter is the threshold value required during clustering process. Results showed that a better performance is demonstrated by Weight-Based Firefly Algorithm compared to Newton’s Universal Gravitation Inspired Firefly Algorithm. Springer International Publishing 2014 Article PeerReviewed Mohammed, Athraa Jasim and Yusof, Yuhanis and Husni, Husniza (2014) Experimental analysis of firefly algorithms for divisive clustering of web documents. Recent Advances on Soft Computing and Data Mining, 287. pp. 487-496. ISSN 2194-5357 http://doi.org/10.1007/978-3-319-07692-8_46 doi:10.1007/978-3-319-07692-8_46
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Mohammed, Athraa Jasim
Yusof, Yuhanis
Husni, Husniza
Experimental analysis of firefly algorithms for divisive clustering of web documents
description This paper studies two clustering algorithms that are based on the Firefly Algorithm (FA) which is a recent swarm intelligence approach.We perform experiments utilizing the Newton’s Universal Gravitation Inspired Firefly Algorithm (GFA) and Weight-Based Firefly Algorithm (WFA) on the 20_newsgroups dataset.The analysis is undertaken on two parameters.The first is the alpha (α) value in the Firefly algorithms and latter is the threshold value required during clustering process. Results showed that a better performance is demonstrated by Weight-Based Firefly Algorithm compared to Newton’s Universal Gravitation Inspired Firefly Algorithm.
format Article
author Mohammed, Athraa Jasim
Yusof, Yuhanis
Husni, Husniza
author_facet Mohammed, Athraa Jasim
Yusof, Yuhanis
Husni, Husniza
author_sort Mohammed, Athraa Jasim
title Experimental analysis of firefly algorithms for divisive clustering of web documents
title_short Experimental analysis of firefly algorithms for divisive clustering of web documents
title_full Experimental analysis of firefly algorithms for divisive clustering of web documents
title_fullStr Experimental analysis of firefly algorithms for divisive clustering of web documents
title_full_unstemmed Experimental analysis of firefly algorithms for divisive clustering of web documents
title_sort experimental analysis of firefly algorithms for divisive clustering of web documents
publisher Springer International Publishing
publishDate 2014
url http://repo.uum.edu.my/15450/
http://doi.org/10.1007/978-3-319-07692-8_46
_version_ 1644281719259398144
score 13.1944895

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