C# Класс Accord.Statistics.Distributions.DensityKernels.GaussianKernel

Наследование: IRadiallySymmetricKernel

Открытые методы

Метод	Описание
Derivative ( double x ) : double	Computes the derivative of the kernel profile function.
Function ( double x ) : double	Computes the kernel density function.
GaussianKernel ( double constant ) : System	Initializes a new instance of the GaussianKernel class.
GaussianKernel ( int dimension ) : System	Initializes a new instance of the GaussianKernel class.
Profile ( double x ) : double	Computes the kernel profile function.

Computes the derivative of the kernel profile function.

public Derivative ( double x ) : double
x	double	The point estimate x.
Результат	double

Computes the kernel density function.

public Function ( double x ) : double
x	double	The input point.
Результат	double

Initializes a new instance of the GaussianKernel class.

public GaussianKernel ( double constant ) : System
constant	double	The normalization constant to use.
Результат	System

Initializes a new instance of the GaussianKernel class.

public GaussianKernel ( int dimension ) : System
dimension	int	The desired dimension d.
Результат	System

Computes the kernel profile function.

public Profile ( double x ) : double
x	double	The squared point estimate x².
Результат	double