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  • ArcsineDistribution Class
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• GaussianMixtureDistribution Class
  • GaussianMixtureDistribution Constructors
  • GaussianMixtureDistribution Properties
  • Methods

GaussianMixtureDistribution Class

Extreme Optimization Numerical Libraries for .NET Professional

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

Inheritance Hierarchy

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SystemObject
  Extreme.Statistics.DistributionsMultivariateContinuousDistribution
    Extreme.Statistics.DistributionsGaussianMixtureDistribution

Namespace:  Extreme.Statistics.Distributions
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1

Syntax

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C#

VB

C++

F#

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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

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	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

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

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Methods

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	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	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 the default hash function. (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	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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See Also

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Reference

Extreme.Statistics.Distributions Namespace

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