Article ID: | iaor20051518 |
Country: | United Kingdom |
Volume: | 55 |
Issue: | 7 |
Start Page Number: | 737 |
End Page Number: | 748 |
Publication Date: | Jul 2004 |
Journal: | Journal of the Operational Research Society |
Authors: | Torres-Velzquez R., Estivill-Castro V. |
Keywords: | computers: data-structure, heuristics |
Clustering a data array has been found useful in the design of web-sites and distributed database system. We show that a critical step during this clustering process is related to solving the Longest Hamiltonian Path Problem, a well-known NP-complete problem. Using the grouping of visitation paths of web-users as a case study, we test several heuristic algorithms. As a result of our experiments, we identify a successful method for dealing with this problem. Our algorithm spends less CPU time and provides better quality solutions than the most recent approach.