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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_IUnsupervisedLearning_3.htm below:

IUnsupervisedLearningTModel, TInput, TOutput Interface

Common interface for unsupervised learning algorithms.

Namespace:  Accord.MachineLearning
Assembly:

Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax 
public interface IUnsupervisedLearning<out TModel, in TInput, out TOutput>
where TModel : Object, ITransform<TInput, TOutput>

Public Interface IUnsupervisedLearning(Of Out TModel As {Object, ITransform(Of TInput, TOutput)}, In TInput, Out TOutput)
Type Parameters
TModel
The type for the model being learned.
TInput
The type for the output data that originates from the model.
TOutput
The type for the input data that enters the model.

The IUnsupervisedLearningTModel, TInput, TOutput type exposes the following members.

Properties   Name Description Token

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Top Methods   Name Description Learn

Learns a model that can map the given inputs to the desired outputs.

Top See Also

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