Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction

Packages that use AbstractKernelFunction
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel Package collects kernel functions. 
 

Uses of AbstractKernelFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
 

Subclasses of AbstractKernelFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
 class AbstractDoubleKernelFunction<O extends DatabaseObject>
          Provides an abstract superclass for KernelFunctions that are based on DoubleDistance.
 class ArbitraryKernelFunctionWrapper<O extends RealVector<O,?>>
          Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed.
 class FooKernelFunction<O extends FeatureVector>
          Provides an experimental KernelDistanceFunction for RealVectors.
 class 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.
 class 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.
 


Release 0.1 (2008-07-10_1838)