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

Package collects kernel functions.

See:
Description

Interface Summary

KernelFunction<O extends DatabaseObject,D extends Distance<D>>

Interface Kernel describes the requirements of any kernel function.

Class Summary

AbstractDoubleKernelFunction<O extends DatabaseObject>	Provides an abstract superclass for KernelFunctions that are based on DoubleDistance.
AbstractKernelFunction<O extends DatabaseObject,D extends Distance<D>>	AbstractKernelFunction provides some methods valid for any extending class.
ArbitraryKernelFunctionWrapper<O extends RealVector<O,?>>	Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed.
FooKernelFunction<O extends FeatureVector>	Provides an experimental KernelDistanceFunction for RealVectors.
KernelMatrix<O extends RealVector<O,?>>	Provides a class for storing the kernel matrix and several extraction methods for convenience.
LinearKernelFunction<O extends FeatureVector<O,?>>	Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by V1^T*V2.
PolynomialKernelFunction<O extends FeatureVector<O,?>>	Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by (V1^T*V2)^degree.

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

Package collects kernel functions.