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

Type Parameters:

O - object type

D - distance type

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, collectOptions, getParameters, setParameters, shortDescription