The KMeansClustering type exposes the following members.

Constructors

  NameDescription
KMeansClusteringOverloaded.

Methods

  NameDescription
Clone
Creates a deep copy of this cluster analysis.
ClusterOverloaded.
Equals
Determines whether the specified Object is equal to the current Object.
(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
Returns a String that represents the current Object.
(Inherited from Object.)

Properties

  NameDescription
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.

See Also