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Expectation–maximization algorithm

Iterative method for finding maximum likelihood estimates in statistical modelsIn statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables.

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