KNearestNeighbors Constructor (Int32, Int32, Double, Int32, IMetricDouble)

Note: This API is now obsolete.

Creates a new KNearestNeighbors.

Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

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[ObsoleteAttribute("Please use KNearestNeighbors(int k, IDistance<T> distance) constructor instead.")]
public KNearestNeighbors(
	int k,
	int classes,
	double[][] inputs,
	int[] outputs,
	IMetric<double[]> distance
)

<ObsoleteAttribute("Please use KNearestNeighbors(int k, IDistance<T> distance) constructor instead.")>
Public Sub New ( 
	k As Integer,
	classes As Integer,
	inputs As Double()(),
	outputs As Integer(),
	distance As IMetric(Of Double())
)

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Parameters

k: Type: SystemInt32
The number of nearest neighbors to be used in the decision.
classes: Type: SystemInt32
The number of classes in the classification problem.
inputs: Type: SystemDouble
The input data points.
outputs: Type: SystemInt32
The associated labels for the input points.
distance: Type: Accord.Math.DistancesIMetricDouble
The distance measure to use.

Reference

KNearestNeighbors Class

KNearestNeighbors Overload

Accord.MachineLearning Namespace