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EM Algorithm: Run It and Know When to Trust It
The EM algorithm raises the log-likelihood on every iteration, which every explanation repeats, and the guarantee is only local. Writing the two steps in numpy and fitting three components to iris petal length shows the algorithm converging. Breaking the run…








