Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
Interface KernelFunction<O extends DatabaseObject,D extends Distance<D>>

All Superinterfaces:
DistanceFunction<O,D>, MeasurementFunction<O,D>, Parameterizable, SimilarityFunction<O,D>
All Known Implementing Classes:
AbstractDoubleKernelFunction, AbstractKernelFunction, ArbitraryKernelFunctionWrapper, FooKernelFunction, LinearKernelFunction, PolynomialKernelFunction

public interface KernelFunction<O extends DatabaseObject,D extends Distance<D>>
extends SimilarityFunction<O,D>, DistanceFunction<O,D>

Interface Kernel describes the requirements of any kernel function.

Author:
Elke Achtert

Method Summary
 
Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction
similarity, similarity, similarity
 
Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction
distance, distance, distance
 
Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction
infiniteDistance, isInfiniteDistance, isNullDistance, isUndefinedDistance, nullDistance, requiredInputPattern, setDatabase, undefinedDistance, valueOf
 
Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable
checkGlobalParameterConstraints, description, getAttributeSettings, getParameters, getPossibleOptions, inlineDescription, setParameters
 


Release 0.1 (2008-07-10_1838)