mlpack::kernel::SphericalKernel Class Reference

List of all members.

Public Member Functions
	SphericalKernel (double b)
	SphericalKernel ()
template<typename VecType >
double	ConvolutionIntegral (const VecType &a, const VecType &b)
	Obtains the convolution integral [integral K(\|\|x-a\|\|)K(\|\|b-x\|\|)dx] for the two vectors.
double	Evaluate (double t)
template<typename VecType >
double	Evaluate (const VecType &a, const VecType &b)
double	Normalizer (size_t dimension)
Private Attributes
double	bandwidth
double	bandwidthSquared

Detailed Description

Definition at line 32 of file spherical_kernel.hpp.

Constructor & Destructor Documentation

mlpack::kernel::SphericalKernel::SphericalKernel ( ) [inline]

Definition at line 35 of file spherical_kernel.hpp.

mlpack::kernel::SphericalKernel::SphericalKernel ( double b ) [inline]

Definition at line 38 of file spherical_kernel.hpp.

Member Function Documentation

template<typename VecType >

double mlpack::kernel::SphericalKernel::ConvolutionIntegral	(	const VecType &	a,
		const VecType &	b
	)			`[inline]`

Obtains the convolution integral [integral K(||x-a||)K(||b-x||)dx] for the two vectors.

In this case, because our simple example kernel has no internal parameters, we can declare the function static. For a more complex example which cannot be declared static, see the GaussianKernel, which stores an internal parameter.

Template Parameters:

VecType

Type of vector (arma::vec, arma::spvec should be expected).

Parameters: