Package elki.similarity.kernel

Kernel functions.

Class Summary

Class	Description
KernelMatrix	Kernel matrix representation.
LaplaceKernel	Laplace / exponential radial basis function kernel.
LaplaceKernel.Par	Parameterization class.
LinearKernel	Linear Kernel function that computes a similarity between the two feature vectors x and y defined by \(x^T\cdot y\).
LinearKernel.Par	Parameterization class.
PolynomialKernel	Polynomial Kernel function that computes a similarity between the two feature vectors x and y defined by \((x^T\cdot y+b)^{\text{degree}}\).
PolynomialKernel.Par	Parameterization class.
RadialBasisFunctionKernel	Gaussian radial basis function kernel (RBF Kernel).
RadialBasisFunctionKernel.Par	Parameterization class.
RationalQuadraticKernel	Rational quadratic kernel, a less computational approximation of the Gaussian RBF kernel (RadialBasisFunctionKernel).
RationalQuadraticKernel.Par	Parameterization class.
SigmoidKernel	Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).
SigmoidKernel.Par	Parameterization class.