KMeansClusterCollectionTransform Method (Double, Int32, Double, Double)

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

Copy

public double[] Transform(
	double[][] points,
	int[] labels,
	double[] weights = null,
	double[] result = null
)

Public Function Transform ( 
	points As Double()(),
	labels As Integer(),
	Optional weights As Double() = Nothing,
	Optional result As Double() = Nothing
) As Double()

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Parameters

points: Type: SystemDouble
The input points.
labels: Type: SystemInt32
The label of each input point.
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: Double
A vector containing the distance between the input points and the clusters.

Implements

ICentroidClusterCollectionTData, TCentroids, TClusterTransform(TData, Int32, Double, Double)

Reference

KMeansClusterCollection Class

Transform Overload

Accord.MachineLearning Namespace