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KModesClusterCollectionTTransform Method (T, Double, Double)
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Transform data points into feature vectors containing the
distance between each point and each of the clusters.
Namespace:
Accord.MachineLearning
Assembly:
Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax public double[][] Transform(
T[][] points,
double[] weights = null,
double[][] result = null
)
Public Function Transform (
points As T()(),
Optional weights As Double() = Nothing,
Optional result As Double()() = Nothing
) As Double()()
Request Example
View SourceParameters
- points
- Type: T
The input points. - weights (Optional)
- Type: SystemDouble
The weight associated with each point. - result (Optional)
- Type: SystemDouble
An optional matrix to store the computed transformation.
Return Value
Type:
DoubleA vector containing the distance between the input points and the clusters.
Implements
ICentroidClusterCollectionTData, TCentroids, TClusterTransform(TData, Double, Double)See Also