KMeansClusterAnalysis Properties

Properties

BaseFeatureIndex Gets an index containing the keys of the columns that are required inputs to the model.
(Inherited from Model)
Centers Gets an array of cluster centers.
Clusters Gets an array of clusters.
Computed Gets whether the model has been computed.
(Inherited from Model)
Obsolete.
Data Gets an object that contains all the data used as input to the model.
(Inherited from Model)
Fitted Gets whether the model has been computed.
(Inherited from Model)
InitializationMethod Gets or sets the method used to initialize the K-means algorithm.
InputSchema Gets the schema for the features used for fitting the model.
(Inherited from Model)
MaxDegreeOfParallelism Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model)
ModelSchema Gets the collection of variables used in the model.
(Inherited from Model)
NumberOfClusters Gets or sets the number of clusters.
NumberOfObservations Gets the number of observations the model is based on.
(Inherited from Model)
ParallelOptions Gets or sets an object that specifies how the calculation of the model should be parallelized.
(Inherited from Model)
Predictions Returns the index of the cluster each observation belongs to as a CategoricalVector<T>.
RandomNumberGenerator Gets or sets the random number generator that may be used during the initialization of the K-means algorithm.
Standardize Gets or sets whether the variables should be standardized before the clustering is computed.
Status Gets the status of the model, which determines which information is available.
(Inherited from Model)
SupportsWeights Indicates whether the model supports case weights.
(Inherited from Model)
Weights Gets or sets the actual weights.
(Inherited from Model)

See Also