KMeans
Properties
| Base |
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) |
| Initialization | Gets or sets the method used to initialize the K-means algorithm. |
| Input |
Gets the schema for the features used for fitting the model.
(Inherited from Model) |
| Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model) |
| Model |
Gets the collection of variables used in the model.
(Inherited from Model) |
| Number | Gets or sets the number of clusters. |
| Number |
Gets the number of observations the model is based on.
(Inherited from Model) |
| Parallel |
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>. |
| Random | 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) |
| Supports |
Indicates whether the model supports case weights.
(Inherited from Model) |
| Weights |
Gets or sets the actual weights.
(Inherited from Model) |