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IClusteringAlgorithmTData, TWeights 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[ObsoleteAttribute("This class will be removed")] public interface IClusteringAlgorithm<TData, TWeights> : IClusteringAlgorithm<TData>, IUnsupervisedLearning<IClusterCollection<TData>, TData, int>
Type Parameters
- TData
- The type of the data being clustered, such as double.
- TWeights
- The type of the weights associated with each point, such as double or double.
The IClusteringAlgorithmTData, TWeights type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Clusters |
Gets the collection of clusters currently modeled by the clustering algorithm.
(Inherited from IClusteringAlgorithmTData.) |
| 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.) |
Methods| Name | Description | |
|---|---|---|
 | Compute(TData) | Obsolete.
Divides the input data into a number of clusters.
(Inherited from IClusteringAlgorithmTData.) |
| Compute(TData, TWeights) | Obsolete.
Divides the input data into a number of clusters.
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| Learn |
Learns a model that can map the given inputs to the desired outputs.
(Inherited from IUnsupervisedLearningTModel, TInput, TOutput.) |
See Also