KNearestFindNearest Method

public float FindNearest(
	InputArray samples,
	int k,
	OutputArray results,
	OutputArray neighborResponses = null,
	OutputArray dist = null
)

Public Function FindNearest ( 
	samples As InputArray,
	k As Integer,
	results As OutputArray,
	Optional neighborResponses As OutputArray = Nothing,
	Optional dist As OutputArray = Nothing
) As Single

public:
float FindNearest(
	InputArray^ samples, 
	int k, 
	OutputArray^ results, 
	OutputArray^ neighborResponses = nullptr, 
	OutputArray^ dist = nullptr
)

member FindNearest : 
        samples : InputArray * 
        k : int * 
        results : OutputArray * 
        ?neighborResponses : OutputArray * 
        ?dist : OutputArray 
(* Defaults:
        let _neighborResponses = defaultArg neighborResponses null
        let _dist = defaultArg dist null
*)
-> float32 

Parameters

samples

Type: OpenCvSharpInputArray
Input samples stored by rows. It is a single-precision floating-point matrix of `[number_of_samples] * k` size.

k

Type: SystemInt32
Number of used nearest neighbors. Should be greater than 1.

results

Type: OpenCvSharpOutputArray
Vector with results of prediction (regression or classification) for each input sample. It is a single-precision floating-point vector with `[number_of_samples]` elements.

neighborResponses (Optional)

Type: OpenCvSharpOutputArray
neighborResponses Optional output values for corresponding neighbors. It is a single-precision floating-point matrix of `[number_of_samples] * k` size.

dist (Optional)

Type: OpenCvSharpOutputArray
Optional output distances from the input vectors to the corresponding neighbors. It is a single-precision floating-point matrix of `[number_of_samples] * k` size.

Return Value

[Missing <returns> documentation for "M:OpenCvSharp.ML.KNearest.FindNearest(OpenCvSharp.InputArray,System.Int32,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray)"]

Reference