KNearestNeighborsFromTree Method

Creates a new KNearestNeighbors algorithm from an existing KDTreeT. The tree must have been created using the input points and the point's class labels as the associated node information.

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

Syntax

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public static KNearestNeighbors FromTree(
	KDTree<int> tree,
	int k,
	int classes,
	double[][] inputs,
	int[] outputs
)

Public Shared Function FromTree ( 
	tree As KDTree(Of Integer),
	k As Integer,
	classes As Integer,
	inputs As Double()(),
	outputs As Integer()
) As KNearestNeighbors

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Parameters

tree: Type: Accord.CollectionsKDTreeInt32
The KDTreeT containing the input points and their integer labels.
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.

Return Value

Type: KNearestNeighbors
A KNearestNeighbors algorithm initialized from the tree.

Reference

KNearestNeighbors Class

Accord.MachineLearning Namespace

KNearestNeighborsAddLanguageSpecificTextSet("LST3741ECF9_0?cpp=::|nu=.");FromTree Method

Parameters

Return Value

Reference

KNearestNeighborsFromTree Method