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  • Extreme.Statistics.Multivariate
    • DendrogramNode Class
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    • KMeansInitializationMethod Enumeration
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    • PartialLeastSquaresModel Class
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  • KMeansCluster Class
    • Properties
    • Methods

KMeansCluster Class

Extreme Optimization Numerical Libraries for .NET Professional
Represents a cluster of cases in a K-means cluster analysis.
Inheritance Hierarchy

SystemObject
  Extreme.Statistics.MultivariateKMeansCluster

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

C#
VB
C++
F#
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public class KMeansCluster
Public Class KMeansCluster
public ref class KMeansCluster
type KMeansCluster =  class end

The KMeansCluster type exposes the following members.

Properties

  NameDescription
Public propertyCenter
Gets the center of the cluster.
Public propertyIndex
Gets the index of the cluster in the collection.
Public propertyMemberIndexes
Gets a Filter that selects the members of the cluster.
Public propertySize
Gets the number of observations in the cluster.
Public propertySumOfSquares
Gets the within-cluster sum of squares of the distances.
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Methods

  NameDescription
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.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string representation of the cluster.
(Overrides ObjectToString.)
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Remarks

Use the KMeansCluster class to access the properties of a cluster returned by a K-means cluster analysis computed by the KMeansClusterAnalysis class. The KMeansClusterAnalysis class has a Clusters property that returns an array of KMeansCluster objects.

A KMeansCluster object cannot be created independently. It is always created by the clustering algorithm. KMeansCluster objects are read-only.

See Also

Reference

Extreme.Statistics.Multivariate Namespace
Extreme.Statistics.MultivariateKMeansClusterAnalysis

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