Emgu CV Library Documentation
CvKNearestCreate Method (trainData, responses, sampleIdx, isRegression, maxK)
NamespacesEmgu.CV.MLMlInvokeCvKNearestCreate(IntPtr, IntPtr, IntPtr, Boolean, Int32)

www.emgu.com/wiki
Create the KNearest classifier using the specific traing data.
Declaration Syntax
C#Visual BasicVisual C++
public static IntPtr CvKNearestCreate(
	IntPtr trainData,
	IntPtr responses,
	IntPtr sampleIdx,
	bool isRegression,
	int maxK
)
Public Shared Function CvKNearestCreate ( _
	trainData As IntPtr, _
	responses As IntPtr, _
	sampleIdx As IntPtr, _
	isRegression As Boolean, _
	maxK As Integer _
) As IntPtr
public:
static IntPtr CvKNearestCreate(
	IntPtr trainData, 
	IntPtr responses, 
	IntPtr sampleIdx, 
	bool isRegression, 
	int maxK
)
Parameters
trainData (IntPtr)
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
responses (IntPtr)
A floating-point matrix of the corresponding output vectors, one vector per row.
sampleIdx (IntPtr)
Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
isRegression (Boolean)
Specify the output variables type. It can be either categorical (isRegression=false) or ordered (isRegression=true)
maxK (Int32)
The number of maximum neighbors that may be passed to the method findNearest.
Return Value
The KNearest classifier

Assembly: Emgu.CV.ML (Module: Emgu.CV.ML) Version: 1.0.0.0 (1.0.0.0)