The E-step chooses the responsibilities that minimize the cost function (with the parameters of the Gaussians held fixed)
		• How do we find responsibility values for a datapoint that minimize the cost and sum to 1? • The optimal solution to the trade-off between expected energy and entropy is to make the responsibilities be proportional to the exponentiated negative energies: • So using the posterior probabilities as responsibilities minimizes the cost function!