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The Expectation-Maximization (EM) algorithm is a cornerstone in the field of machine learning, particularly in the realms of statistical estimation and clustering. It can be used as a powerful tool to determine the maximum probability estimates of the parameters that are derived from probabilistic theories, specifically where the model relies on latent variables that are not observed. This EM algorithm is known for its use across a variety of areas like natural computer vision, language ...

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