Bayesian Approaches to Gaussian Mixture Modeling.
A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approach is able to select an "optimal© number of components in the model and so partition data sets. The performance of the...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
1998
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