loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Third Latin American Web Congress (LA-WEB'2005)
Page Clustering Using a Distance-Based Algorithm
Buenos Aires, Argentina
October 31-November 02
ISBN: 0-7695-2471-0
Jairo Andrés Mojica, National University of Colombia
Diego Alexander Rojas, National University of Colombia
Jonatan Gómez, National University of Colombia
Fabio González, National University of Colombia
This paper presents an application of a clustering algorithm based on gravitational forces to the problem of Web Page Clustering in a dynamic environment. The proposed algorithm uses a modification of the gravitational algorithm proposed by G?omez et al. but using only the distance measures (a notion of space is not required). This approach is useful when similarities (and/or then distances) between pages can be defined and compute quickly, but the definition of a space is computationally expensive. Experiments with data representing real URL?s and sessions are performed, and a comparison with the incremental connected components algorithm, which has been previously used to solve this problem, is done.
Citation:
Jairo Andrés Mojica, Diego Alexander Rojas, Jonatan Gómez, Fabio González, "Page Clustering Using a Distance-Based Algorithm," la-web, pp.223-229, Third Latin American Web Congress (LA-WEB'2005), 2005
Usage of this product signifies your acceptance of the Terms of Use.