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> EM </arg1> <rel> stands for </rel> <arg2> expectation–maximization </arg2>	1