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We consider the tting of normal mixture models to multivariate data, using maximum likelihood via the EM algorithm. This approach requires the initial speciication of an initial estimate of the vector of unknown parameters, or equivalently, of an initial clas-siication of the data with respect to the components of the mixture model under t. We describe an(More)
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