Mixture model A Gaussian mixture model is a probabilistic way of representing subpopulations within an overall population. We only observe the data, not the subpopulation from which observation belongs. We have $N$ random variables observed, each distributed according to a mixture of K gaussian components. Each gaussian has its own parameters, and we should be able to estimate the category using Expectation Maximization, as we are...