Expectation-Maximization in action (and some Python code)

As already said in a previous post about Expectation-Maximization algorithm, the problem is to guess the distribution parameters that eventually generated mixed observations. The two sources are assumed to be two Gaussian distributions $ N(\mu_0, \sigma_0) $ and $ N(\mu_1, … Continue reading