Represents a cluster of cases in a K-means cluster analysis.
SystemObject Extreme.Statistics.MultivariateKMeansCluster
Namespace:
Extreme.Statistics.Multivariate
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
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.
|
 | 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.
|
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| 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 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 representation of the cluster.
(Overrides ObjectToString.) |
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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.
Reference