Uses of Class
edu.umd.cloud9.example.clustering.UnivariateGaussianMixtureModel

Packages that use UnivariateGaussianMixtureModel

edu.umd.cloud9.example.clustering

Uses of UnivariateGaussianMixtureModel in edu.umd.cloud9.example.clustering

Methods in edu.umd.cloud9.example.clustering that return UnivariateGaussianMixtureModel

UnivariateGaussianMixtureModel	UnivariateGaussianMixtureModel.clone() Creates and returns a copy of the instance.
static UnivariateGaussianMixtureModel	ExpectationMaximization.initialize(Point[] points, double[] means) Initializes the mixture model with points that are closet the given means.
static UnivariateGaussianMixtureModel	ExpectationMaximization.initialize(Point[] points, int n) Initializes the mixture model with random points.
static UnivariateGaussianMixtureModel	ExpectationMaximization.run(Point[] points, UnivariateGaussianMixtureModel m) Performs the Expectation-Maximization algorithm.

Methods in edu.umd.cloud9.example.clustering with parameters of type UnivariateGaussianMixtureModel

static UnivariateGaussianMixtureModel

ExpectationMaximization.run(Point[] points, UnivariateGaussianMixtureModel m) Performs the Expectation-Maximization algorithm.