The KMeansClustering type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
| KMeansClustering | Overloaded. |
Methods
| Name | Description | |
|---|---|---|
| Clone |
Creates a deep copy of this cluster analysis.
| |
| Cluster | Overloaded. | |
| Equals | (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.) | |
| ToString | (Inherited from Object.) |
Properties
| Name | Description | |
|---|---|---|
| Clusters |
Gets the cluster assignments computed during the last clustering.
| |
| Data |
Gets and sets the data matrix.
| |
| DefaultMaxIterations |
Gets and sets the default maximum number of iterations.
| |
| FinalCenters |
Gets the matrix of final cluster centers computed during the last clustering.
| |
| InitialCenters |
Gets the matrix of initial cluster centers used during the last clustering.
| |
| Iterations |
Gets the number of iterations used in the clustering just computed.
| |
| K |
Gets the number of clusters computed during the last clustering..
| |
| MaxIterations |
Gets and sets the maximum number of iterations used in clustering.
| |
| MaxIterationsMet |
Returns true if the clustering just computed stopped because the
maximum number of iterations was reached; otherwise, false.
| |
| N |
Gets the number of objects in this.Data.
| |
| Sizes |
Gets the number of points in each cluster computed during the last clustering.
| |
| WithinSumOfSquares |
Gets the within-cluster sum of squares for each cluster computed during the last clustering.
|