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An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models
We propose an Anderson Acceleration (AA) scheme for the adaptive Expectation-Maximization (EM) algorithm for unsupervised learning a finite mixture model from multivariate data (Figueiredo and Jain 2002).
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