Documentation API of the 'org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization' Java class
MultivariateNormalMixtureExpectationMaximization
org.apache.commons.math3.distribution.fitting

Class MultivariateNormalMixtureExpectationMaximization



  • public class MultivariateNormalMixtureExpectationMaximizationextends Object
    Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions. This implementation is pure original code based on EM Demystified: An Expectation-Maximization Tutorial by Yihua Chen and Maya R. Gupta, Department of Electrical Engineering, University of Washington, Seattle, WA 98195. It was verified using external tools like CRAN Mixtools (see the JUnit test cases) but it is not based on Mixtools code at all. The discussion of the origin of this class can be seen in the comments of the MATH-817 JIRA issue.

Warning: You cannot see the full API documentation of this class since the access to the DatMelt documentation for third-party Java classes is denied. Guests can only view jhplot Java API. To view the complete description of this class and its methods, please request the full DataMelt membership.

If you are already a full member, please login to the DataMelt member area before visiting this documentation.