public class KMeansCluster

Public Class KMeansCluster

public ref class KMeansCluster

type KMeansCluster =  class end

The KMeansCluster type exposes the following members.

	Name	Description
	Center	Gets the center of the cluster.
	Index	Gets the index of the cluster in the collection.
	MemberFilter	Gets a Filter that selects the members of the cluster.
	MemberIndexes	Gets a Filter that selects the members of the cluster.
	Size	Gets the number of observations in the cluster.
	SumOfSquares	Gets the within-cluster sum of squares of the distances.

	Name	Description
	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 a hash function for a particular type. (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 representation of the cluster. (Overrides ObjectToString.)

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.

Numerical Libraries

Reference