The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step.	<arg1> an expectation step </arg1> <rel> creates </rel> <arg2> a function for the expectation of the log-likelihood </arg2>	1