Serves as the base class for classes that build clustering models.
SystemObject Extreme.DataAnalysis.ModelsModel Extreme.DataAnalysis.ModelsClusteringModelT Extreme.Statistics.MultivariateHierarchicalClusterAnalysis Extreme.Statistics.MultivariateKMeansClusterAnalysis
Namespace:
Extreme.DataAnalysis.Models
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
public abstract class ClusteringModel<T> : Model
Public MustInherit Class ClusteringModel(Of T)
Inherits Model
generic<typename T>
public ref class ClusteringModel abstract : public Model
[<AbstractClassAttribute>]
type ClusteringModel<'T> =
class
inherit Model
endType Parameters
- T
The ClusteringModelT type exposes the following members.
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|
| Name | Description |
|---|
 | BaseFeatureIndex |
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model.) |
| Computed | Obsolete.
Gets whether the model has been computed.
(Inherited from Model.) |
| 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.) |
| 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.) |
| 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.) |
| 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.) |
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|
| Name | Description |
|---|
 | Compute | Obsolete.
Computes the model.
(Inherited from Model.) |
| Compute(ParallelOptions) | Obsolete.
Computes the model.
(Inherited from Model.) |
| 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.) |
| Fit |
Fits the model to the data.
(Inherited from Model.) |
| Fit(ParallelOptions) |
Fits the model to the data.
(Inherited from Model.) |
| FitCore |
Computes the model to the specified input
using the specified parallelization options.
(Inherited from Model.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. |
| MemberwiseClone | Creates a shallow copy of the current Object. |
| ResetComputation | Obsolete.
Clears all fitted model parameters.
(Inherited from Model.) |
| ResetFit |
Clears all fitted model parameters.
(Inherited from Model.) |
| SetDataSource |
Uses the specified data frame as the source for all input variables.
(Inherited from Model.) |
| Summarize |
Returns a string containing a human-readable summary of the object using default options.
(Inherited from Model.) |
| Summarize(SummaryOptions) |
Returns a string containing a human-readable summary of the object using the specified options.
(Inherited from Model.) |
| ToString | Returns a string that represents the current object. (Inherited from Model.) |
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Use the ClusteringModelT class as the base class
for classes that create clustering or unsupervised learning models.
Reference