de.lmu.ifi.dbs.elki.distance
Interface PreprocessorBasedMeasurementFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>

Type Parameters:

D - the type of Distance used as measurement for comparing database objects

O - the type of DatabaseObject for which a measurement is provided for comparison

P - the type of Preprocessor used

All Superinterfaces:

MeasurementFunction<O,D>, PreprocessorClient<P,O>

All Known Subinterfaces:

LocalPCAPreprocessorBasedDistanceFunction<O,P,D>, PreprocessorBasedDistanceFunction<O,P,D>

All Known Implementing Classes:

AbstractCorrelationDistanceFunction, AbstractLocallyWeightedDistanceFunction, AbstractPreferenceVectorBasedCorrelationDistanceFunction, AbstractPreprocessorBasedDistanceFunction, AbstractPreprocessorBasedSimilarityFunction, DiSHDistanceFunction, ERiCDistanceFunction, FractionalSharedNearestNeighborSimilarityFunction, HiSCDistanceFunction, KernelBasedLocallyWeightedDistanceFunction, LocallyWeightedDistanceFunction, PCABasedCorrelationDistanceFunction, SharedNearestNeighborSimilarityFunction, SubspaceDistanceFunction

public interface PreprocessorBasedMeasurementFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>
extends MeasurementFunction<O,D>, PreprocessorClient<P,O>

Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database.

Author:

Elke Achtert

Method Summary

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

getDistanceFactory, infiniteDistance, nullDistance, setDatabase, undefinedDistance, valueOf

Methods inherited from interface de.lmu.ifi.dbs.elki.preprocessing.PreprocessorClient

getAssociationID, getDefaultPreprocessorClass, getPreprocessorDescription, getPreprocessorSuperClass