In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables.	<arg1> an expectation–maximization algorithm </arg1> <rel> is </rel> <arg2> an iterative method </arg2>	1