Uses of Class
gov.sandia.cognition.statistics.distribution.MultivariateGaussian.PDF

Packages that use MultivariateGaussian.PDF

Package	Description
gov.sandia.cognition.learning.algorithm.clustering.cluster	Provides implementations of different types of clusters.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.
gov.sandia.cognition.statistics.montecarlo	Provides Monte Carlo procedures for numerical integration and sampling.

Uses of MultivariateGaussian.PDF in gov.sandia.cognition.learning.algorithm.clustering.cluster

Methods in gov.sandia.cognition.learning.algorithm.clustering.cluster that return MultivariateGaussian.PDF

Modifier and Type	Method and Description
MultivariateGaussian.PDF	GaussianCluster.getGaussian() Gets the Gaussian that represents the cluster.

Methods in gov.sandia.cognition.learning.algorithm.clustering.cluster with parameters of type MultivariateGaussian.PDF

Modifier and Type	Method and Description
void	GaussianCluster.setGaussian(MultivariateGaussian.PDF gaussian) Sets the Gaussian representing the cluster.

Constructors in gov.sandia.cognition.learning.algorithm.clustering.cluster with parameters of type MultivariateGaussian.PDF

Constructor and Description
GaussianCluster(java.util.Collection<? extends Vector> members, MultivariateGaussian.PDF gaussian) Creates a new instance of GaussianCluster.
GaussianCluster(int index, java.util.Collection<? extends Vector> members, MultivariateGaussian.PDF gaussian) Creates a new instance of GaussianCluster.
GaussianCluster(MultivariateGaussian.PDF gaussian) Creates a new instance of GaussianCluster.

Uses of MultivariateGaussian.PDF in gov.sandia.cognition.statistics.bayesian

Methods in gov.sandia.cognition.statistics.bayesian that return MultivariateGaussian.PDF

Modifier and Type	Method and Description
MultivariateGaussian.PDF	BayesianLinearRegression.IncrementalEstimator.SufficientStatistic.create()
MultivariateGaussian.PDF	DirichletProcessMixtureModel.MultivariateMeanCovarianceUpdater.createClusterPosterior(java.lang.Iterable<? extends Vector> values, java.util.Random random)
MultivariateGaussian.PDF	DirichletProcessMixtureModel.MultivariateMeanUpdater.createClusterPosterior(java.lang.Iterable<? extends Vector> values, java.util.Random random)
MultivariateGaussian.PDF	DirichletProcessMixtureModel.MultivariateMeanUpdater.createPriorPredictive(java.lang.Iterable<? extends Vector> data)
MultivariateGaussian.PDF	BayesianLinearRegression.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,java.lang.Double>> data)
MultivariateGaussian.PDF	BayesianLinearRegression.IncrementalEstimator.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,java.lang.Double>> data)

Uses of MultivariateGaussian.PDF in gov.sandia.cognition.statistics.distribution

Methods in gov.sandia.cognition.statistics.distribution that return MultivariateGaussian.PDF

Modifier and Type	Method and Description
MultivariateGaussian.PDF	MultivariateGaussian.SufficientStatistic.create()
MultivariateGaussian.PDF	MultivariateGaussian.SufficientStatisticCovarianceInverse.create()
MultivariateGaussian.PDF	MixtureOfGaussians.PDF.fitSingleGaussian() Fits a single MultivariateGaussian to the given MixtureOfGaussians
MultivariateGaussian.PDF	MultivariateGaussian.getProbabilityFunction()
MultivariateGaussian.PDF	MultivariateGaussian.PDF.getProbabilityFunction()
MultivariateGaussian.PDF	MultivariateGaussian.MaximumLikelihoodEstimator.learn(java.util.Collection<? extends Vector> data) Computes the Gaussian that estimates the maximum likelihood of generating the given set of samples.
static MultivariateGaussian.PDF	MultivariateGaussian.MaximumLikelihoodEstimator.learn(java.util.Collection<? extends Vector> data, double defaultCovariance) Computes the Gaussian that estimates the maximum likelihood of generating the given set of samples.
MultivariateGaussian.PDF	MultivariateGaussian.WeightedMaximumLikelihoodEstimator.learn(java.util.Collection<? extends WeightedValue<? extends Vector>> data) Computes the Gaussian that estimates the maximum likelihood of generating the given set of weighted samples.
static MultivariateGaussian.PDF	MultivariateGaussian.WeightedMaximumLikelihoodEstimator.learn(java.util.Collection<? extends WeightedValue<? extends Vector>> data, double defaultCovariance) Computes the Gaussian that estimates the maximum likelihood of generating the given set of weighted samples.

Uses of MultivariateGaussian.PDF in gov.sandia.cognition.statistics.montecarlo

Methods in gov.sandia.cognition.statistics.montecarlo that return MultivariateGaussian.PDF

Modifier and Type	Method and Description
MultivariateGaussian.PDF	MultivariateMonteCarloIntegrator.getMean(java.util.Collection<? extends Vector> samples)
MultivariateGaussian.PDF	MultivariateMonteCarloIntegrator.getMean(java.util.List<? extends WeightedValue<? extends Vector>> samples)
<SampleType> MultivariateGaussian.PDF	MultivariateMonteCarloIntegrator.integrate(java.util.Collection<? extends SampleType> samples, Evaluator<? super SampleType,? extends Vector> expectationFunction)
<SampleType> MultivariateGaussian.PDF	MultivariateMonteCarloIntegrator.integrate(java.util.List<? extends WeightedValue<? extends SampleType>> samples, Evaluator<? super SampleType,? extends Vector> expectationFunction)