CentroidClusterTCollection, TData, TCentroid, TCluster Class

Data cluster.

Inheritance Hierarchy

SystemObject
  Accord.MachineLearningClusterTCollection, TData, TCluster
    Accord.MachineLearningCentroidClusterTCollection, TData, TCentroid, TCluster
      Accord.MachineLearningCentroidClusterTCollection, TData, TCluster
      Accord.MachineLearningGaussianClusterCollectionGaussianCluster

Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

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[SerializableAttribute]
public class CentroidCluster<TCollection, TData, TCentroid, TCluster> : Cluster<TCollection, TData, TCluster>
where TCollection : Object, ICentroidClusterCollection<TData, TCentroid, TCluster>, IMulticlassScoreClassifier<TData, int>
where TCluster : new(), CentroidCluster<TCollection, TData, TCentroid, TCluster>

<SerializableAttribute>
Public Class CentroidCluster(Of TCollection As {Object, ICentroidClusterCollection(Of TData, TCentroid, TCluster), IMulticlassScoreClassifier(Of TData, Integer)}, TData, TCentroid, TCluster As {New, CentroidCluster(Of TCollection, TData, TCentroid, TCluster)})
	Inherits Cluster(Of TCollection, TData, TCluster)

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Type Parameters

TCollection
TData
TCentroid
TCluster

The CentroidClusterTCollection, TData, TCentroid, TCluster type exposes the following members.

Constructors

	Name	Description
	CentroidClusterTCollection, TData, TCentroid, TCluster	Initializes a new instance of the CentroidClusterTCollection, TData, TCentroid, TCluster class

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Properties

	Name	Description
	Centroid	Gets the cluster's centroid.
	Index	Gets the label for this cluster. (Inherited from ClusterTCollection, TData, TCluster.)
	Owner	Gets the collection to which this cluster belongs to. (Inherited from ClusterTCollection, TData, TCluster.)
	Proportion	Gets the proportion of samples contained in this cluster. (Inherited from ClusterTCollection, TData, TCluster.)

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Methods

	Name	Description
	Distortion	Computes the distortion of the cluster, measured as the average distance between the cluster points and its centroid.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	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.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(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.)
	ToT	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.)

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Reference

Accord.MachineLearning Namespace

CentroidClusterAddLanguageSpecificTextSet("LST25225726_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TCollection, TData, TCentroid, TClusterAddLanguageSpecificTextSet("LST25225726_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

CentroidClusterTCollection, TData, TCentroid, TCluster Class