C# Класс OpenCvSharp.ML.KNearest

K nearest neighbors classifier

Наследование: StatModel

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Открытые методы

Метод	Описание
Create ( ) : KNearest	Creates the empty model
FindNearest ( InputArray samples, int k, OutputArray results, OutputArray neighborResponses = null, OutputArray dist = null ) : float	Finds the neighbors and predicts responses for input vectors.

Защищенные методы

Метод	Описание
Dispose ( bool disposing ) : void	Clean up any resources being used.
KNearest ( IntPtr p ) : System	Creates instance by raw pointer cv::ml::KNearest*

Описание методов

Create() публичный статический Метод

Creates the empty model

public static Create ( ) : KNearest
Результат	KNearest

Dispose() защищенный Метод

Clean up any resources being used.

protected Dispose ( bool disposing ) : void
disposing	bool	/// If disposing equals true, the method has been called directly or indirectly by a user's code. Managed and unmanaged resources can be disposed. /// If false, the method has been called by the runtime from inside the finalizer and you should not reference other objects. Only unmanaged resources can be disposed. ///
Результат	void

FindNearest() публичный Метод

Finds the neighbors and predicts responses for input vectors.

public FindNearest ( InputArray samples, int k, OutputArray results, OutputArray neighborResponses = null, OutputArray dist = null ) : float
samples	InputArray	Input samples stored by rows. /// It is a single-precision floating-point matrix of `[number_of_samples] * k` size.
k	int	Number of used nearest neighbors. Should be greater than 1.
results	OutputArray	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	OutputArray	neighborResponses Optional output values for corresponding neighbors. /// It is a single-precision floating-point matrix of `[number_of_samples] * k` size.
dist	OutputArray	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.
Результат	float

KNearest() защищенный Метод

Creates instance by raw pointer cv::ml::KNearest*

protected KNearest ( IntPtr p ) : System
p	System.IntPtr
Результат	System