Web page clustering using harmony search optimization

Rana Forsati, Mehrdad Mahdavi, Mohammadreza Kangavari, Banafsheh Safarkhani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations

Abstract

Clustering has become an increasingly important task in modern application domains. Targeting useful and relevant information on the World Wide Web is a topical and highly complicated research area. Clustering techniques have been applied to categorize documents on web and extracting knowledge from the web. In this paper we propose novel clustering algorithms based on Harmony Search (HS) optimization method that deals with web document clustering. By modeling clustering as an optimization problem, first, we propose a pure HS based clustering algorithm that finds near global optimal clusters within a reasonable time. Then we hybridize K-means and harmony clustering to achieve better clustering. Experimental results on five different data sets reveal that the proposed algorithms can find better clusters when compared to similar methods and the quality of clusters is comparable. Also proposed algorithms converge to the best known optimum faster than other methods.

Original languageEnglish (US)
Title of host publicationIEEE Canadian Conference on Electrical and Computer Engineering, Proceedings, CCECE 2008
Pages1601-1604
Number of pages4
DOIs
StatePublished - Sep 22 2008
EventIEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2008 - Niagara Falls, ON, Canada
Duration: May 4 2008May 7 2008

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Print)0840-7789

Other

OtherIEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2008
CountryCanada
CityNiagara Falls, ON
Period5/4/085/7/08

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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    Forsati, R., Mahdavi, M., Kangavari, M., & Safarkhani, B. (2008). Web page clustering using harmony search optimization. In IEEE Canadian Conference on Electrical and Computer Engineering, Proceedings, CCECE 2008 (pp. 1601-1604). [4564812] (Canadian Conference on Electrical and Computer Engineering). https://doi.org/10.1109/CCECE.2008.4564812