R: Data Analysis and Visualization

User search intent and the EM algorithm

The Expectation Maximization (EM) algorithm is a probabilistic-model-based clustering algorithm that depends on the mixture model in which the data is modeled by a mixture of simple models. The parameters related to these models are estimated by Maximum Likelihood Estimation (MLE).

Mixture models assume that the data is the result of the combination of various simple probabilistic distribution functions. Given K distribution functions and the jth distribution with the parameter, , is the set of of all distributions: ...