Package edu.cmu.tetrad.search.work_in_progress

Class Demixer

java.lang.Object
edu.cmu.tetrad.search.work_in_progress.Demixer
public class Demixer extends Object
Uses expectation-maximization to sort a a data set with data sampled from two or more multivariate Gaussian distributions into its component data sets.
Version:
$Id: $Id
Author:
Madelyn Glymour

  • Constructor Details

    • Demixer

      public Demixer(DataSet data, int k)
      Constructor. Initializes the means, weights, and covariance matrices for each model.
      Parameters:
      data - the data set
      k - the number of models

  • Method Details

    • demix

      public MixtureModel demix()
      Runs the E-M algorithm iteratively until the weights array converges. Returns a MixtureModel object containing the final values of the means, covariance matrices, weights, and gammas arrays.
      Returns:
      a MixtureModel object

    • isDemixed

      public boolean isDemixed()

      isDemixed.

      Returns:
      a boolean