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  • Extreme.Statistics.Distributions
    • 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

SystemObject
  Extreme.Statistics.DistributionsMultivariateContinuousDistribution
    Extreme.Statistics.DistributionsGaussianMixtureDistribution

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

C#
VB
C++
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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

  NameDescription
Public methodGaussianMixtureDistribution(VectorDouble, IListVectorDouble, MatrixDouble)
Constructs a new Gaussian mixture distribution where all components have the same covariance matrix.
Public methodGaussianMixtureDistribution(VectorDouble, IListVectorDouble, VectorDouble)
Constructs a new Gaussian mixture distribution where all components have a spherical distribution.
Public methodGaussianMixtureDistribution(VectorDouble, IListVectorDouble, IListMatrixDouble)
Constructs a new Gaussian mixture distribution.
Public methodGaussianMixtureDistribution(VectorDouble, IListVectorDouble, IListVectorDouble)
Constructs a new Gaussian mixture distribution where all components have a diagonal covariance matrix.
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Properties

  NameDescription
Public propertyOrder
Gets the number of dimensions of the distribution.
(Inherited from MultivariateContinuousDistribution.)
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Methods

  NameDescription
Public methodDistributionFunction
Returns the cumulative distribution function (CDF) of this distribution for the specified value.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodFillSample(Random, VectorDouble)
Fills a vector with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution.)
Public methodFillSample(Random, Double)
Fills a Double array with random numbers.
(Inherited from MultivariateContinuousDistribution.)
Protected methodFillSampleCore
Fills a vector with a random sample from the distribution.
(Overrides MultivariateContinuousDistributionFillSampleCore(Random, VectorDouble).)
Public methodFillSamples
Fills the rows of a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetMeans
Returns the mean or expectation value of the distribution.
(Overrides MultivariateContinuousDistributionGetMeans.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodGetVarianceCovarianceMatrix
Returns the variance of the distribution.
(Overrides MultivariateContinuousDistributionGetVarianceCovarianceMatrix.)
Public methodLogProbabilityDensityFunction
Returns the natural logarithm of the probability density function (PDF) of this distribution for the specified value.
(Overrides MultivariateContinuousDistributionLogProbabilityDensityFunction(VectorDouble).)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodProbabilityDensityFunction
Returns the value of the probability density function (PDF) of this distribution for the specified value.
(Inherited from MultivariateContinuousDistribution.)
Public methodSample(Random)
Returns a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution.)
Public methodSample(Random, Int32)
Returns a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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See Also

Reference

Extreme.Statistics.Distributions Namespace

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