KMeans
Represents a cluster of cases in a K-means cluster analysis.
Definition
Namespace: Extreme.Statistics.Multivariate
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
C#
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
public class KMeansCluster- Inheritance
- Object → KMeansCluster
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.
Properties
| Center | Gets the center of the cluster. |
| Index | Gets the index of the cluster in the collection. |
| Member | Gets a Filter that selects the members of the cluster. |
| Size | Gets the number of observations in the cluster. |
| Sum | Gets the within-cluster sum of squares of the distances. |
Methods
| 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 Object.ToString()) |