KMeansClusterCollectionTransform Method (Double, 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

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

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

points: Type: SystemDouble
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.

Type: Double
A vector containing the distance between the input points and the clusters.