Package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Kernel functions.

See: Description

Interface Summary

Interface	Description
KernelMatrix.DBIDMap	Map a DBID to its offset TODO: move to shared code.

Class Summary

Class	Description
KernelMatrix	Kernel matrix representation.
KernelMatrix.RangeMap	Map a DBID to an integer offset, DBIDRange version.
KernelMatrix.SortedArrayMap	Map a DBID to an integer offset, Version to support arbitrary DBIDs.
LaplaceKernelFunction	Laplace / exponential radial basis function kernel.
LaplaceKernelFunction.Parameterizer	Parameterization class.
LinearKernelFunction	Linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2.
LinearKernelFunction.Parameterizer	Parameterization class.
PolynomialKernelFunction	Polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
PolynomialKernelFunction.Parameterizer	Parameterization class.
RadialBasisFunctionKernelFunction	Gaussian radial basis function kernel (RBF Kernel).
RadialBasisFunctionKernelFunction.Parameterizer	Parameterization class.
RationalQuadraticKernelFunction	Rational quadratic kernel, a less computational approximation of the Gaussian RBF kernel (RadialBasisFunctionKernelFunction).
RationalQuadraticKernelFunction.Parameterizer	Parameterization class.
SigmoidKernelFunction	Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).
SigmoidKernelFunction.Parameterizer	Parameterization class.

Package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel Description

Kernel functions.