seaborn

Expectation-Maximization

As part of some clustering work and learning about hidden Markov models, I’ve been doing some reading about the EM algorithm and it’s applications. It’s a pretty neat algorithm (I love iterative algorithms like Newton’s method and the Euclidean algorithm) so I thought I’d illustrate how it works. I’ve also been doing a bit more python recently, so I thought I would do all this in python rather than R.