Question: EM and k-means are iterative methods for unsupervised learning that learn the parameters of models with hidden variables (including the case in which the classification

EM and k-means are iterative methods for unsupervised learning that learn the parameters of models with hidden variables (including the case in which the classification is hidden).

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EM and k-means are iterative methods to learn the parameters of models with hidden variables (including the case in which the classification is hidden).

EM is an iterative method to learn the parameters of models with hidden variables (including the case in which the classification is hidden).

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