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GaussianClusterCollectionGaussianCluster Class

Gaussian Mixture Model cluster.
Inheritance Hierarchy
SystemObject
  Accord.MachineLearningClusterGaussianClusterCollection, Double, GaussianClusterCollectionGaussianCluster
    Accord.MachineLearningCentroidClusterGaussianClusterCollection, Double, IMixtureComponentMultivariateNormalDistribution, GaussianClusterCollectionGaussianCluster
      Accord.MachineLearningGaussianClusterCollectionGaussianCluster

Namespace:  Accord.MachineLearning
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax
[SerializableAttribute]
public class GaussianCluster : CentroidCluster<GaussianClusterCollection, double[], IMixtureComponent<MultivariateNormalDistribution>, GaussianClusterCollectionGaussianCluster>, 
	IMixtureComponent<MultivariateNormalDistribution>
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The GaussianClusterCollectionGaussianCluster type exposes the following members.

Constructors
  NameDescription
Public methodGaussianClusterCollectionGaussianCluster
Initializes a new instance of the GaussianClusterCollectionGaussianCluster class
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Properties
Methods
  NameDescription
Public methodDeviance
Gets the deviance of the points in relation to the cluster.
Public methodDistortion
Computes the distortion of the cluster, measured as the average distance between the cluster points and its centroid.
(Inherited from CentroidClusterTCollection, TData, TCentroid, TCluster.)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
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 methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodLikelihood
Gets the probability density function of the underlying Gaussian probability distribution evaluated in point x.
Public methodLogLikelihood
Gets the probability density function of the underlying Gaussian probability distribution evaluated in point x.
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToDistribution
Gets a copy of the normal distribution associated with this cluster.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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Remarks
This class contains information about a Gaussian cluster found during a GaussianMixtureModel estimation. Clusters are often contained within a GaussianClusterCollection.
See Also