The nature of statistical learning theory
The nature of statistical learning theory
On cross validation for model selection
Neural Computation
Computing the cumulative distribution function of the Kolmogorov-Smirnov statistic
Computational Statistics & Data Analysis
Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood
IEEE Transactions on Pattern Analysis and Machine Intelligence
On convergence properties of the em algorithm for gaussian mixtures
Neural Computation
Mutual Information Analysis: How, When and Why?
CHES '09 Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems
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In this paper, an extended KS test is proposed to determine the number of components in a mixture model. An approach based on the EM procedure is constructed by the extended KS test in parallel to do the computation. The simulation studies are given to illustrate the method proposed.