de.lmu.ifi.dbs.elki.algorithm

Interface DistanceBasedAlgorithm<O>

Type Parameters:

O - Object type

All Superinterfaces:

Algorithm

All Known Subinterfaces:

KMeans<V,M>

All Known Implementing Classes:

AbstractDBOutlier, AbstractDistanceBasedAlgorithm, AbstractHDBSCAN, AbstractKMeans, AbstractNumberVectorDistanceBasedAlgorithm, AbstractOPTICS, AGNES, AnderbergHierarchicalClustering, AveragePrecisionAtK, BestOfMultipleKMeans, CanopyPreClustering, CBLOF, CLARA, CLARANS, CLINK, COF, COP, CTLuGLSBackwardSearchAlgorithm, CTLuRandomWalkEC, DBOutlierDetection, DBOutlierScore, DBSCAN, DeLiClu, DependencyDerivator, DistanceQuantileSampler, DistanceStatisticsWithClasses, DistanceStddevOutlier, DWOF, EstimateIntrinsicDimensionality, EvaluateRankingQuality, EvaluateRetrievalPerformance, FastCLARA, FastCLARANS, GriDBSCAN, HDBSCANLinearMemory, HilOut, HopkinsStatisticClusteringTendency, IDOS, INFLO, IntrinsicDimensionalityOutlier, ISOS, KDEOS, KMeansAnnulus, KMeansBisecting, KMeansCompare, KMeansElkan, KMeansExponion, KMeansHamerly, KMeansLloyd, KMeansMacQueen, KMeansMinusMinus, KMeansSimplifiedElkan, KMeansSort, KMediansLloyd, KMedoidsFastPAM, KMedoidsFastPAM1, KMedoidsPAM, KMedoidsPAMReynolds, KMedoidsPark, KNNBenchmarkAlgorithm, KNNClassifier, KNNDD, KNNDistancesSampler, KNNJoin, KNNOutlier, KNNSOS, KNNWeightOutlier, LDF, LDOF, Leader, LocalIsolationCoefficient, LOCI, LOF, LSDBC, MiniMax, MiniMaxAnderberg, MiniMaxNNChain, NaiveAgglomerativeHierarchicalClustering1, NaiveAgglomerativeHierarchicalClustering2, NaiveAgglomerativeHierarchicalClustering3, NaiveAgglomerativeHierarchicalClustering4, NaiveMeanShiftClustering, NNChain, ODIN, ODIN, OPTICSHeap, OPTICSList, OPTICSOF, ParallelKNNOutlier, ParallelKNNWeightOutlier, ParallelLloydKMeans, ParallelLOF, ParallelSimplifiedLOF, RangeQueryBenchmarkAlgorithm, RangeQuerySelectivity, RankingQualityHistogram, ReferenceBasedOutlierDetection, SameSizeKMeansAlgorithm, SilhouetteOutlierDetection, SimpleCOP, SimpleKernelDensityLOF, SimplifiedLOF, SingleAssignmentKMeans, SLINK, SLINKHDBSCANLinearMemory, SOS, ValidateApproximativeKNNIndex, VarianceOfVolume, XMeans

public interface DistanceBasedAlgorithm<O>
extends Algorithm

Very broad interface for distance based algorithms.

Since:

0.1

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	DISTANCE_FUNCTION_ID OptionID for DISTANCE_FUNCTION_ID.

Method Summary

Modifier and Type	Method and Description
DistanceFunction<? super O>	getDistanceFunction() Returns the distanceFunction.

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

getInputTypeRestriction, run

Field Detail

DISTANCE_FUNCTION_ID

static final OptionID DISTANCE_FUNCTION_ID

OptionID for DISTANCE_FUNCTION_ID.

Method Detail

getDistanceFunction

DistanceFunction<? super O> getDistanceFunction()

Returns the distanceFunction.

Returns:

the distanceFunction