Abstract
The EM algorithm is widely used to calculate maximum-likelihood estimates corresponding to a mixture of normal distributions. The algorithm is altered using simple constraints which increase robustness against poor initial guesses while maintaining a low work requirement per iteration. The modified algorithm is described and the results of some numerical tests are given.
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