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KMeansClusterCollectionTransform Method |
Overload List| Name | Description | |
|---|---|---|
 | Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.) |
| Transform(TInput, TClasses) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Transform(Double, Double, Double) |
Transform data points into feature vectors containing the
distance between each point and each of the clusters.
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| Transform(Double, Int32, Double, Double) |
Transform data points into feature vectors containing the
distance between each point and each of the clusters.
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See Also