Expectation Maximization is a very generic inference scheme that has many declination depending on the structure of the models it is applied to. For instance th

Expectation Maximization is a very generic inference scheme that has many declination depending on the structure of the models it is applied to. For instance there we already have Gaussian Mixture Models that can be fitted using EM in sklearn. There is also an implementation of k-means which can also be interpreted as an EM algorithm.