Description: In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimates or maximum a posteriori estimation algorithm to find the probability (probabilistic) model, in which the probability model is dependent on unobservable hidden variables (Latent Variable). Maximum expected areas often used in machine learning and computer vision, data clustering (Data Clustering).
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