de.lmu.ifi.dbs.elki.distance.distancefunction

Interface PrimitiveDoubleDistanceFunction<O>

Type Parameters:

O - Object type

All Superinterfaces:

DistanceFunction<O,DoubleDistance>, Parameterizable, PrimitiveDistanceFunction<O,DoubleDistance>

All Known Subinterfaces:

DoubleNorm<O>, SpatialPrimitiveDoubleDistanceFunction<V>

All Known Implementing Classes:

AbstractDimensionsSelectingDoubleDistanceFunction, AbstractEditDistanceFunction, AbstractSpatialDoubleDistanceFunction, AbstractSpatialDoubleDistanceNorm, AbstractVectorDoubleDistanceFunction, AbstractVectorDoubleDistanceNorm, ArcCosineDistanceFunction, BrayCurtisDistanceFunction, CanberraDistanceFunction, ChiSquaredDistanceFunction, ClarkDistanceFunction, CosineDistanceFunction, DimensionSelectingDistanceFunction, DimensionSelectingLatLngDistanceFunction, DTWDistanceFunction, EDRDistanceFunction, ERPDistanceFunction, EuclideanDistanceFunction, HistogramIntersectionDistanceFunction, HistogramMatchDistanceFunction, HSBHistogramQuadraticDistanceFunction, JaccardPrimitiveSimilarityFunction, JeffreyDivergenceDistanceFunction, JensenShannonDivergenceDistanceFunction, KolmogorovSmirnovDistanceFunction, Kulczynski1DistanceFunction, KullbackLeiblerDivergenceAsymmetricDistanceFunction, KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction, LatLngDistanceFunction, LCSSDistanceFunction, LinearKernelFunction, LngLatDistanceFunction, LorentzianDistanceFunction, LPIntegerNormDistanceFunction, LPNormDistanceFunction, ManhattanDistanceFunction, MaximumDistanceFunction, MinimumDistanceFunction, MultiLPNorm, PearsonCorrelationDistanceFunction, PolynomialKernelFunction, RGBHistogramQuadraticDistanceFunction, SparseEuclideanDistanceFunction, SparseLPNormDistanceFunction, SparseManhattanDistanceFunction, SparseMaximumDistanceFunction, SqrtJensenShannonDivergenceDistanceFunction, SquaredEuclideanDistanceFunction, SquaredPearsonCorrelationDistanceFunction, SubspaceEuclideanDistanceFunction, SubspaceLPNormDistanceFunction, SubspaceManhattanDistanceFunction, SubspaceMaximumDistanceFunction, TutorialDistanceFunction, WeightedCanberraDistanceFunction, WeightedDistanceFunction, WeightedEuclideanDistanceFunction, WeightedLPNormDistanceFunction, WeightedManhattanDistanceFunction, WeightedMaximumDistanceFunction, WeightedPearsonCorrelationDistanceFunction, WeightedSquaredEuclideanDistanceFunction, WeightedSquaredPearsonCorrelationDistanceFunction

public interface PrimitiveDoubleDistanceFunction<O>
extends PrimitiveDistanceFunction<O,DoubleDistance>

Interface for distance 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	doubleDistance(O o1, O o2) Computes the distance between two given Objects according to this distance function.

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction

distance, getInputTypeRestriction

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

getDistanceFactory, instantiate, isMetric, isSymmetric

Method Detail

doubleDistance

double doubleDistance(O o1,
                    O o2)

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

Parameters:

o1 - first Object

o2 - second Object

Returns:

the distance between two given Objects according to this distance function