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

Kernel functions.

See:
Description

Class Summary

FooKernelFunction	Provides an experimental KernelDistanceFunction for NumberVectors.
FooKernelFunction.Parameterizer	Parameterization class.
KernelMatrix	Provides a class for storing the kernel matrix and several extraction methods for convenience.
LinearKernelFunction<O extends NumberVector<?,?>>	Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2.
PolynomialKernelFunction	Provides a 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.

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

Kernel functions.