A probabilistic validation algorithm for web users' clusters
Date
2004ISBN
0-7803-8566-7Source
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Volume
5Pages
4129-4134Google Scholar check
Keyword(s):
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Cluster analysis is one of the most important aspects in the data mining process for discovering groups and identifying interesting distributions or patterns over the considered data sets. In the context of Web data mining, model-based clustering algorithms are often used to cluster similar users' sessions in order to determine Website access behaviors. An important issue in cluster analysis is the evaluation of clustering results to find the partitioning that best fits the underlying data. In this paper, we present a novel validation technique for model-based clustering approaches. © 2004 IEEE.