The E-step: Computing responsibilities

Prior for Gaussian i

• In order to adjust the parameters, we must first solve the inference problem: Which Gaussian generated each datapoint? – We cannot be sure, so it’s a distribution over all possibilities. • Use Bayes theorem to get posterior probabilities

Bayes theorem

Mixing proportion

Product over all data dimensions