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>>

Type Parameters:
O - object type
D - distance type
All Superinterfaces:
DistanceFunction<O,D>, MeasurementFunction<O,D>, Parameterizable, SimilarityFunction<O,D>
All Known Implementing Classes:
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
getDistanceFactory, infiniteDistance, nullDistance, setDatabase, undefinedDistance, valueOf
 


Release 0.3 (2010-03-31_1612)