In statistics, an expectation maximization algorithm is an iterative method for finding local maximum likelihood or maximum a posteriori estimates of parameters in statistical models, where the model depends on unobserved latent variables.
Expectation maximization is a classic algorithm that can be used as an unsupervised clustering algorithm.
As an optimization procedure, it is an alternative to gradient descent.
Welcome, my name is Eric Soupet and I am the administrator of the site elodees.com. elodees.com is a state of the art of Artificial Intelligence and aims to be collaborative, you can now offer content such as articles, events, tutorials, ... so don't hesitate !
