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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

This paper discussed the problem in number selection in clustering and variable selection based on behaviors of a huge website in China. By comparing the traditional model based on BIC criterion and the method based on prediction strength, we try to construct a set of general framework of web data cluster analysis by introducing prediction strength. We obtain the following conclusions: In web usage analysis, traditional parametric clustering method based on mixture model fails to solve the central problems in web usage cluster analysis. Prediction strength designed by nonparametric statistics and machine learning is fast and flexible over than model-based...

Abstract
Keywords:
Introduction
Theories on Extimating the Number of Clusters
Emprical Study
Conclusion and Suggestions
Acknowledgments
References
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