A quantum EM algorithm fits Gaussian mixture models with per-iteration runtime polylogarithmic in the number of samples and polynomial in other parameters, under quantum access to the data.
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate gaussian mixture models
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Quantum Expectation-Maximization for Gaussian Mixture Models
A quantum EM algorithm fits Gaussian mixture models with per-iteration runtime polylogarithmic in the number of samples and polynomial in other parameters, under quantum access to the data.