Emgu CV Library Documentation
CvKNearestTrain Method (classifier, trainData, responses, sampleIdx, isRegression, maxK, updateBase)
NamespacesEmgu.CV.MLMlInvokeCvKNearestTrain(IntPtr, IntPtr, IntPtr, IntPtr, Boolean, Int32, Boolean)

www.emgu.com/wiki
Update the KNearest classifier using the specific traing data.
Declaration Syntax
C#Visual BasicVisual C++
public static bool CvKNearestTrain(
	IntPtr classifier,
	IntPtr trainData,
	IntPtr responses,
	IntPtr sampleIdx,
	bool isRegression,
	int maxK,
	bool updateBase
)
Public Shared Function CvKNearestTrain ( _
	classifier As IntPtr, _
	trainData As IntPtr, _
	responses As IntPtr, _
	sampleIdx As IntPtr, _
	isRegression As Boolean, _
	maxK As Integer, _
	updateBase As Boolean _
) As Boolean
public:
static bool CvKNearestTrain(
	IntPtr classifier, 
	IntPtr trainData, 
	IntPtr responses, 
	IntPtr sampleIdx, 
	bool isRegression, 
	int maxK, 
	bool updateBase
)
Parameters
classifier (IntPtr)
The KNearest classifier to be updated
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.
updateBase (Boolean)
If true, the existing classifer is updated using the new training data; Otherwise, the classifier is trained from scratch
Return Value

[Missing <returns> documentation for M:Emgu.CV.ML.MlInvoke.CvKNearestTrain(System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,System.Boolean,System.Int32,System.Boolean)]

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