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Fig. 10


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Non-Gaussianity of distributions: if one assumes a Gaussian distribution (green curve) for themes and directly estimates the classifier parameters, a poor fit to the data results. Using a Gaussian mixture model fitted with the expectation-maximization algorithm, is a better fit to the data (orange curve).

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