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

Interface PrimitiveDoubleSimilarityFunction<O>

Type Parameters:

O - Object type

All Superinterfaces:

Parameterizable, PrimitiveSimilarityFunction<O,DoubleDistance>, SimilarityFunction<O,DoubleDistance>

All Known Subinterfaces:

NormalizedPrimitiveSimilarityFunction<O>

All Known Implementing Classes:

AbstractVectorDoubleSimilarityFunction, JaccardPrimitiveSimilarityFunction, Kulczynski1SimilarityFunction, Kulczynski2SimilarityFunction, LaplaceKernelFunction, LinearKernelFunction, PolynomialKernelFunction, RadialBasisFunctionKernelFunction, RationalQuadraticKernelFunction, SigmoidKernelFunction

public interface PrimitiveDoubleSimilarityFunction<O>
extends PrimitiveSimilarityFunction<O,DoubleDistance>

Interface for similarity functions that can provide a raw double value. This is for use in performance-critical situations that need to avoid the boxing/unboxing cost of regular distance API.

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleSimilarity(O o1, O o2) Computes the similarity between two given Objects according to this similarity function.

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.PrimitiveSimilarityFunction

getInputTypeRestriction, similarity

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

getDistanceFactory, instantiate, isSymmetric

Method Detail

doubleSimilarity

double doubleSimilarity(O o1,
                      O o2)

Computes the similarity between two given Objects according to this similarity function.

Parameters:

o1 - first Object

o2 - second Object

Returns:

the similarity between two given Objects according to this similarity function