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Web page clustering using harmony search optimization

Forsati, R ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/CCECE.2008.4564812
  3. Publisher: 2008
  4. Abstract:
  5. 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. © 2008 IEEE
  6. Keywords:
  7. Chlorine compounds ; Cluster analysis ; Flow of solids ; Global optimization ; Hydraulic structures ; Internet ; Optimization ; Technology ; Websites ; World wide web ; Application domains ; Clustering techniques ; Clustering web pages ; Data sets ; Electrical and computer engineering ; Harmony search ; K-means ; Novel clustering ; Optimization problems ; Optimization methods ; Reasonable time ; Relevant information ; Research area ; Web document clustering ; Web page clustering ; Clustering algorithms
  8. Source: IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2008, Niagara Falls, ON, 4 May 2008 through 7 May 2008 ; 2008 , Pages 1601-1604 ; 08407789 (ISSN) ; 9781424416431 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4564812