Parameter estimation for finite mixture distributions (Q1105299)
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scientific article; zbMATH DE number 4058636
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Parameter estimation for finite mixture distributions |
scientific article; zbMATH DE number 4058636 |
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Parameter estimation for finite mixture distributions (English)
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1988
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We compare (numerically) two approaches to the estimation of the parameters of the component densities in a univariate mixture of normal distributions. One approach is based on a constrained maximum-likelihood algorithm; the other on the fuzzy c-means clustering algorithm.
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numerical comparison of estimation procedures
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mixture of normal distributions
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constrained maximum-likelihood algorithm
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fuzzy c-means clustering algorithm
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0.97510463
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0.95324993
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0.93984526
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0.93702257
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