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- W137132906 abstract "We propose genetic algorithms in order to estimate the parameters of a multivariate mixture model. Their design is analogue to the evolutionary techniques for the maximization of the likelihood function. The links with both the EM algorithm and the cluster analysis are examined. The case where the number of mixture components is unknown is investigated and some estimation procedures are suggested. Real data examples and simulated data sets are used to illustrate the merits of the proposed procedure and for comparison purpose." @default.
- W137132906 created "2016-06-24" @default.
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- W137132906 date "2003-01-01" @default.
- W137132906 modified "2023-09-27" @default.
- W137132906 title "Multivariate Mixture Models Estimation: A Genetic Algorithm Approach" @default.
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- W137132906 doi "https://doi.org/10.1007/978-3-642-18991-3_16" @default.
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