IClusteringAlgorithmTData Interface

Note: This API is now obsolete.

Common interface for clustering algorithms.

Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

Copy

[ObsoleteAttribute("This class will be removed")]
public interface IClusteringAlgorithm<TData> : IUnsupervisedLearning<IClusterCollection<TData>, TData, int>

<ObsoleteAttribute("This class will be removed")>
Public Interface IClusteringAlgorithm(Of TData)
	Inherits IUnsupervisedLearning(Of IClusterCollection(Of TData), TData, Integer)

Request Example View Source

Type Parameters

TData: The type of the data being clustered, such as double.

The IClusteringAlgorithmTData type exposes the following members.

Properties

	Name	Description
	Clusters	Gets the collection of clusters currently modeled by the clustering algorithm.
	Token	Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running. (Inherited from IUnsupervisedLearningTModel, TInput, TOutput.)

Top

Methods

	Name	Description
	Compute	Obsolete. Divides the input data into a number of clusters.
	Learn	Learns a model that can map the given inputs to the desired outputs. (Inherited from IUnsupervisedLearningTModel, TInput, TOutput.)

Top

Reference

Accord.MachineLearning Namespace

Accord.MachineLearningKMeans

Accord.MachineLearningKModesT

Accord.MachineLearningBinarySplit

Accord.MachineLearningGaussianMixtureModel

IClusteringAlgorithmAddLanguageSpecificTextSet("LST10A6F26A_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TDataAddLanguageSpecificTextSet("LST10A6F26A_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

IClusteringAlgorithmTData Interface