Accord.Statistics.Kernels Namespace

Contains more than 30+ kernel functions for machine learning and statistical applications. Kernel functions are used in kernel methods such as the Support Vector Machine (SVM).

Classes

	Class	Description
	Additive	Additive combination of kernels.
	Anova	ANOVA (ANalysis Of VAriance) Kernel.
	Bessel	Bessel Kernel.
	BSpline	B-Spline Kernel.
	Cauchy	Cauchy Kernel.
	ChiSquare	Chi-Square Kernel.
	Circular	Circular Kernel.
	Custom	Custom Kernel.
	Dirichlet	Dirichlet Kernel.
	GaussianTDistance	Composite Gaussian Kernel.
	Hellinger	Hellinger Kernel.
	HistogramIntersection	Generalized Histogram Intersection Kernel.
	Hypersecant	Hyperbolic Secant Kernel.
	InverseMultiquadric	Inverse Multiquadric Kernel.
	Kernel	Extension methods for kernel functions.
	KernelBase	Base class for kernel functions. This class provides automatic distance calculations for classes that do not provide optimized implementations.
	KernelBaseTInput	Base class for kernel functions. This class provides automatic distance calculations for classes that do not provide optimized implementations.
	KernelFunctionCache	Value cache for kernel function evaluations. The total memory size occupied by the cache can fluctuate between MinimumBytes and MaximumBytes.
	KernelFunctionCacheTKernel, TInput	Value cache for kernel function evaluations. The total memory size occupied by the cache can fluctuate between MinimumBytes and MaximumBytes.
	Laplacian	Laplacian Kernel.
	Log	Logarithm Kernel.
	Multiquadric	Multiquadric Kernel.
	NormalizedT	Normalized Kernel.
	NormalizedPolynomial	Normalized Polynomial Kernel. This class is equivalent to the Normalized>Polynomial> kernel but has more efficient implementation.
	Pearson	Pearson VII universal kernel (PUK).
	Power	Power Kernel, also known as the (Unrectified) Triangular Kernel.
	Quadratic	Quadratic Kernel.
	RationalQuadratic	Rational Quadratic Kernel.
	Sigmoid	Sigmoid Kernel.
	Spherical	Spherical Kernel.
	Spline	Infinite Spline Kernel function.
	SquaredSinc	Squared Sinc Kernel.
	SymmetricTriangle	Symmetric Triangle Kernel.
	ThinSplinePlate	Thin Spline Plate Kernel.
	TStudent	Generalized T-Student Kernel.
	Wave	Wave Kernel.

Structures

	Structure	Description
	DynamicTimeWarping	Dynamic Time Warping Sequence Kernel.
	DynamicTimeWarpingTDistance, TInput	Radial Basis Function Dynamic Time Warping Sequence Kernel.
	Gaussian	Gaussian Kernel.
	GaussianTDistance, TInput	Composite Gaussian Kernel.
	Linear	Linear Kernel.
	Polynomial	Polynomial Kernel.
	Precomputed	Precomputed Gram Matrix Kernel.
	TaylorGaussian	Taylor approximation for the explicit Gaussian kernel.
	TensorT	Tensor Product combination of Kernels.
	Wavelet	Wavelet Kernel.

Interfaces

	Interface	Description
	IEstimable	Interface for kernel functions with support for automatic parameter estimation.
	IEstimableTInput	Interface for kernel functions with support for automatic parameter estimation.
	IKernel	Kernel function interface.
	IKernelT	Kernel function interface.
	ILinear	Kernel function interface.
	ILinearT	Kernel function interface.
	IRadialBasisKernel	Interface for Radial Basis Function kernels.
	IReverseDistance	Input space distance interface for kernel functions.
	ITransform	Common interface for kernel functions that can explicitly project input points into the kernel feature space.
	ITransformTInput	Common interface for kernel functions that can explicitly project input points into the kernel feature space.