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Creaet a KNearest classifier using the specific traing data

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.3.0.1416 (2.3.0.1416)

Syntax

C#
public KNearest(
	Matrix<float> trainData,
	Matrix<float> responses,
	Matrix<byte> sampleIdx,
	bool isRegression,
	int maxK
)
Visual Basic
Public Sub New ( _
	trainData As Matrix(Of Single), _
	responses As Matrix(Of Single), _
	sampleIdx As Matrix(Of Byte), _
	isRegression As Boolean, _
	maxK As Integer _
)
Visual C++
public:
KNearest(
	Matrix<float>^ trainData, 
	Matrix<float>^ responses, 
	Matrix<unsigned char>^ sampleIdx, 
	bool isRegression, 
	int maxK
)

Parameters

trainData
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
responses
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
A floating-point matrix of the corresponding output vectors, one vector per row.
sampleIdx
Type: Emgu.CV..::..Matrix<(Of <(<'Byte>)>)>
Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
isRegression
Type: System..::..Boolean
Specify the output variables type. It can be either categorical (isRegression=false) or ordered (isRegression=true)
maxK
Type: System..::..Int32
The number of maximum neighbors that may be passed to the method findNearest.

See Also