GaussianMixtureDistribution Class - Extreme.Statistics.Distributions - Reference - Documentation - Math, Statistics and Matrix Libraries for .NET in C#, VB and F#

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GaussianMixtureDistribution Class

Extreme Optimization Numerical Libraries for .NET Professional

Represents a multivariate distribution that is a mixture of multivariate normal distributions.

Inheritance Hierarchy

SystemObject
Extreme.Statistics.DistributionsMultivariateContinuousDistribution
Extreme.Statistics.DistributionsGaussianMixtureDistribution

Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)

Syntax

C++

Copy

public class GaussianMixtureDistribution : MultivariateContinuousDistribution

Public Class GaussianMixtureDistribution
	Inherits MultivariateContinuousDistribution

public ref class GaussianMixtureDistribution : public MultivariateContinuousDistribution

type GaussianMixtureDistribution =  
    class
        inherit MultivariateContinuousDistribution
    end

The GaussianMixtureDistribution type exposes the following members.

Constructors

	Name	Description
	GaussianMixtureDistribution(VectorDouble, IListVectorDouble, MatrixDouble)	Constructs a new Gaussian mixture distribution where all components have the same covariance matrix.
	GaussianMixtureDistribution(VectorDouble, IListVectorDouble, VectorDouble)	Constructs a new Gaussian mixture distribution where all components have a spherical distribution.
	GaussianMixtureDistribution(VectorDouble, IListVectorDouble, IListMatrixDouble)	Constructs a new Gaussian mixture distribution.
	GaussianMixtureDistribution(VectorDouble, IListVectorDouble, IListVectorDouble)	Constructs a new Gaussian mixture distribution where all components have a diagonal covariance matrix.

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Properties

	Name	Description
	Order	Gets the number of dimensions of the distribution. (Inherited from MultivariateContinuousDistribution.)

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Methods

	Name	Description
	DistributionFunction	Returns the cumulative distribution function (CDF) of this distribution for the specified value.
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	FillSample(Random, VectorDouble)	Fills a vector with a random sample from the distribution. (Inherited from MultivariateContinuousDistribution.)
	FillSample(Random, Double)	Fills a Double array with random numbers. (Inherited from MultivariateContinuousDistribution.)
	FillSampleCore	Fills a vector with a random sample from the distribution. (Overrides MultivariateContinuousDistributionFillSampleCore(Random, VectorDouble).)
	FillSamples(Random, MatrixDouble)	Fills the rows of a matrix with random samples from the distribution. (Inherited from MultivariateContinuousDistribution.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetMeans	Returns the mean or expectation value of the distribution. (Overrides MultivariateContinuousDistributionGetMeans.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetVarianceCovarianceMatrix	Returns the variance of the distribution. (Overrides MultivariateContinuousDistributionGetVarianceCovarianceMatrix.)
	LogProbabilityDensityFunction	Returns the natural logarithm of the probability density function (PDF) of this distribution for the specified value. (Overrides MultivariateContinuousDistributionLogProbabilityDensityFunction(VectorDouble).)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ProbabilityDensityFunction(VectorDouble)	Returns the value of the probability density function (PDF) of this distribution for the specified value. (Inherited from MultivariateContinuousDistribution.)
	Sample(Random)	Returns a random sample from the distribution. (Inherited from MultivariateContinuousDistribution.)
	Sample(Random, Int32)	Returns a matrix with random samples from the distribution. (Inherited from MultivariateContinuousDistribution.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Version Information

Numerical Libraries

Supported in: 6.0

Reference

Extreme.Statistics.Distributions Namespace

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