de.lmu.ifi.dbs.elki.algorithm

Class AbstractDistanceBasedAlgorithm.Parameterizer<O>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<O>

All Implemented Interfaces:

Parameterizer

Direct Known Subclasses:

AbstractDBOutlier.Parameterizer, AbstractHDBSCAN.Parameterizer, AbstractOPTICS.Parameterizer, AGNES.Parameterizer, AnderbergHierarchicalClustering.Parameterizer, AveragePrecisionAtK.Parameterizer, CanopyPreClustering.Parameterizer, CLINK.Parameterizer, COF.Parameterizer, COP.Parameterizer, CTLuGLSBackwardSearchAlgorithm.Parameterizer, CTLuRandomWalkEC.Parameterizer, DBSCAN.Parameterizer, DeLiClu.Parameterizer, DistanceQuantileSampler.Parameterizer, DistanceStatisticsWithClasses.Parameterizer, DWOF.Parameterizer, EstimateIntrinsicDimensionality.Parameterizer, EvaluateRankingQuality.Parameterizer, EvaluateRetrievalPerformance.Parameterizer, FlexibleLOF.Parameterizer, IDOS.Parameterizer, INFLO.Parameterizer, IntrinsicDimensionalityOutlier.Parameterizer, KDEOS.Parameterizer, KMedoidsEM.Parameterizer, KMedoidsPAM.Parameterizer, KNNBenchmarkAlgorithm.Parameterizer, KNNClassifier.Parameterizer, KNNDistancesSampler.Parameterizer, KNNJoin.Parameterizer, KNNOutlier.Parameterizer, KNNWeightOutlier.Parameterizer, LDF.Parameterizer, LDOF.Parameterizer, LocalIsolationCoefficient.Parameterizer, LOCI.Parameterizer, LOF.Parameterizer, LSDBC.Parameterizer, MaterializeDistances.Parameterizer, NaiveMeanShiftClustering.Parameterizer, ODIN.Parameterizer, OPTICSOF.Parameterizer, ParallelKNNOutlier.Parameterizer, ParallelKNNWeightOutlier.Parameterizer, ParallelLOF.Parameterizer, ParallelSimplifiedLOF.Parameterizer, RangeQueryBenchmarkAlgorithm.Parameterizer, RangeQuerySelectivity.Parameterizer, RankingQualityHistogram.Parameterizer, SilhouetteOutlierDetection.Parameterizer, SimpleCOP.Parameterizer, SimpleKernelDensityLOF.Parameterizer, SimplifiedLOF.Parameterizer, SLINK.Parameterizer, ValidateApproximativeKNNIndex.Parameterizer, VarianceOfVolume.Parameterizer

Enclosing class:

AbstractDistanceBasedAlgorithm<O,R extends Result>

public abstract static class AbstractDistanceBasedAlgorithm.Parameterizer<O>
extends AbstractParameterizer

Parameterization helper class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected DistanceFunction<? super O>	distanceFunction The distance function to use.

Constructor Summary

Constructors

Constructor and Description
AbstractDistanceBasedAlgorithm.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make, makeInstance

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

distanceFunction

protected DistanceFunction<? super O> distanceFunction

The distance function to use.

Constructor Detail

AbstractDistanceBasedAlgorithm.Parameterizer

public AbstractDistanceBasedAlgorithm.Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.