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

Interface Parameterizable

All Known Subinterfaces:

AffinityPropagationInitialization<O>, Algorithm, BulkSplit, ClusteringAlgorithm<C>, ComputeColorHistogram, DatabaseConnection, DBIDDistanceFunction<D>, DBIDSimilarityFunction<D>, DimensionSelectingSubspaceDistanceFunction<O,D>, DimensionSimilarity<V>, DistanceBasedAlgorithm<O,D>, DistanceFunction<O,D>, Distribution, DoubleNorm<O>, EigenPairFilter, EnsembleVoting, FeatureVector.Factory<V,D>, FilteredLocalPCABasedDistanceFunction<O,P,D>, FilteredLocalPCAIndex.Factory<NV,I>, GoodnessOfFitTest, HierarchicalClusteringAlgorithm<D>, IndexBasedDistanceFunction<O,D>, IndexBasedSimilarityFunction<O,D>, IndexFactory<V,I>, InsertionStrategy, KMeans<V,D,M>, LocalProjectionIndex.Factory<V,I>, NeighborSetPredicate.Factory<O>, Norm<O,D>, Normalization<O>, NormalizedPrimitiveSimilarityFunction<O>, NormalizedSimilarityFunction<O>, NumberVector.Factory<V,N>, NumberVectorDistanceFunction<D>, OPTICSTypeAlgorithm<D>, OutlierAlgorithm, OutlierScalingFunction, Parser, PreferenceVectorIndex.Factory<V,I>, PrimitiveDistanceFunction<O,D>, PrimitiveDoubleDistanceFunction<O>, PrimitiveDoubleSimilarityFunction<O>, PrimitiveSimilarityFunction<O,D>, Projection<IN,OUT>, ProjectorFactory, ReferencePointsHeuristic<O>, ResultHandler, ScalingFunction, SharedNearestNeighborIndex.Factory<O,I>, SimilarityFunction<O,D>, SparseNumberVector.Factory<V,N>, SpatialPrimitiveDistanceFunction<V,D>, SpatialPrimitiveDoubleDistanceFunction<V>, SplitStrategy, StaticScalingFunction, StreamingParser, SubspaceClusteringAlgorithm<M>, SubspaceProjectionIndex.Factory<NV,I>, VisFactory, WeightedNeighborSetPredicate.Factory<O>, WorkflowStep

All Known Implementing Classes:

ABOD, AbstractAggarwalYuOutlier, AbstractAlgorithm, AbstractApplication, AbstractBiclustering, AbstractBulkSplit, AbstractComputeColorHistogram, AbstractCovarianceMatrixBuilder, AbstractDatabaseConnection, AbstractDatabaseDistanceFunction, AbstractDBIDDistanceFunction, AbstractDBIDSimilarityFunction, AbstractDBOutlier, AbstractDimensionsSelectingDoubleDistanceFunction, AbstractDistanceBasedAlgorithm, AbstractDistanceBasedSpatialOutlier, AbstractDistribution, AbstractEditDistanceFunction, AbstractFilteredPCAIndex.Factory, AbstractIndexBasedDistanceFunction, AbstractIndexBasedSimilarityFunction, AbstractKMeans, AbstractMaterializeKNNPreprocessor.Factory, AbstractMkTreeUnifiedFactory, AbstractMTreeFactory, AbstractNeighborhoodOutlier, AbstractNormalization, AbstractNumberVector.Factory, AbstractPrecomputedNeighborhood.Factory, AbstractPreferenceVectorBasedCorrelationDistanceFunction, AbstractPreferenceVectorIndex.Factory, AbstractPrimitiveDistanceBasedAlgorithm, AbstractPrimitiveDistanceFunction, AbstractPrimitiveSimilarityFunction, AbstractProjectedClustering, AbstractProjectedDBSCAN, AbstractRStarTreeFactory, AbstractSimilarityAdapter, AbstractSpatialDoubleDistanceFunction, AbstractSpatialDoubleDistanceNorm, AbstractStreamingParser, AbstractStreamNormalization, AbstractSubspaceProjectionIndex.Factory, AbstractVectorDoubleDistanceFunction, AbstractVectorDoubleDistanceNorm, AbstractVectorDoubleSimilarityFunction, AbstractVisFactory, AdaptiveSortTileRecursiveBulkSplit, AddSingleScale, AffinityPropagationClusteringAlgorithm, AggarwalYuEvolutionary, AggarwalYuNaive, AlgorithmStep, ALOCI, AngTanLinearSplit, ApproximativeLeastOverlapInsertionStrategy, APRIORI, ArcCosineDistanceFunction, ArccosSimilarityAdapter, ArffParser, ArrayAdapterDatabaseConnection, AttributeWiseCDFNormalization, AttributeWiseErfNormalization, AttributeWiseMADNormalization, AttributeWiseMinMaxNormalization, AttributeWiseVarianceNormalization, AveragePrecisionAtK, AxisBasedReferencePoints, AxisReorderVisualization, AxisVisibilityVisualization, AxisVisualization, BestOfMultipleKMeans, BetaDistribution, BitVector.Factory, BitVectorLabelParser, BrayCurtisDistanceFunction, BubbleVisualization, BundleDatabaseConnection, ByLabelClustering, ByLabelHierarchicalClustering, ByLabelOrAllInOneClustering, ByLabelOutlier, ByModelClustering, ByteVector.Factory, CachedDoubleDistanceKNNPreprocessor.Factory, CacheDoubleDistanceInOnDiskMatrix, CacheDoubleDistanceKNNLists, CacheDoubleDistanceRangeQueries, CacheFloatDistanceInOnDiskMatrix, CanberraDistanceFunction, CanopyPreClustering, CASH, CategorialDataAsNumberVectorParser, CauchyDistribution, ChengAndChurch, ChiDistribution, ChiSquaredDistanceFunction, ChiSquaredDistribution, CircleSegmentsVisualizer, ClarkDistanceFunction, ClipScaling, CLIQUE, ClusterEvaluationVisualization, ClusterHullVisualization, ClusterMeanVisualization, ClusterOrderVisualization, ClusterOutlineVisualization, ClusterParallelMeanVisualization, ColoredHistogramVisualizer, CombinedInsertionStrategy, CompositeEigenPairFilter, ComputeHSBColorHistogram, ComputeKNNOutlierScores, ComputeNaiveHSBColorHistogram, ComputeNaiveRGBColorHistogram, ComputeSingleColorHistogram, ConcatenateFilesDatabaseConnection, ConstantDistribution, ConvertToBundleApplication, COP, COPAC, COPOutlierScaling, COPVectorVisualization, CosineDistanceFunction, CovarianceDimensionSimilarity, CTLuGLSBackwardSearchAlgorithm, CTLuMeanMultipleAttributes, CTLuMedianAlgorithm, CTLuMedianMultipleAttributes, CTLuMoranScatterplotOutlier, CTLuRandomWalkEC, CTLuScatterplotOutlier, CTLuZTestOutlier, DBIDRangeDatabaseConnection, DBOutlierDetection, DBOutlierScore, DBSCAN, DeLiClu, DeLiCluTreeFactory, DensityEstimationOverlay, DependencyDerivator, DimensionSelectingDistanceFunction, DimensionSelectingLatLngDistanceFunction, DiscardResultHandler, DiSH, DiSHDistanceFunction, DiSHPreferenceVectorIndex.Factory, DiskCacheBasedDoubleDistanceFunction, DiskCacheBasedFloatDistanceFunction, DistanceBasedInitializationWithMedian, DistanceFunctionVisualization, DistanceStatisticsWithClasses, DistanceStddevOutlier, DOC, DoubleVector.Factory, DoubleVectorLabelParser, DropEigenPairFilter, DTWDistanceFunction, DummyAlgorithm, DWOF, EDRDistanceFunction, EM, EMClusterVisualization, EMOutlier, EmptyDatabaseConnection, EnsembleVotingInverseMultiplicative, EnsembleVotingMax, EnsembleVotingMean, EnsembleVotingMedian, EnsembleVotingMin, EnsembleVotingMultiplicative, ERiC, ERiCDistanceFunction, ERPDistanceFunction, EuclideanDistanceFunction, EvaluateRankingQuality, EvaluationStep, ExponentialDistribution, ExponentiallyModifiedGaussianDistribution, ExportVisualizations, ExtendedNeighborhood.Factory, ExternalDoubleOutlierScore, ExternalIDJoinDatabaseConnection, ExternalNeighborhood.Factory, ExtractFlatClusteringFromHierarchy, FastABOD, FeatureBagging, FeatureSelection, FileBasedDatabaseConnection, FileBasedDoubleDistanceFunction, FileBasedFloatDistanceFunction, FileOrderBulkSplit, FirstNEigenPairFilter, FlexibleLOF, FloatVector.Factory, FloatVectorLabelParser, FourC, FourCSubspaceIndex.Factory, FractionalSharedNearestNeighborSimilarityFunction, FullDatabaseReferencePoints, GammaDistribution, GammaScaling, GaussianModel, GaussianUniformMixture, GeneralizedDBSCAN, GeneralizedExtremeValueDistribution, GeneralizedLogisticAlternateDistribution, GeneralizedLogisticDistribution, GeneratorXMLDatabaseConnection, GeneratorXMLSpec, GreedyEnsembleExperiment, GreeneSplit, GridBasedReferencePoints, GumbelDistribution, HaltonUniformDistribution, HashmapDatabase, HeDESNormalizationOutlierScaling, HiCO, HiCS, HiCSDimensionSimilarity, HilOut, HiSC, HiSCDistanceFunction, HiSCPreferenceVectorIndex.Factory, HistogramFactory, HistogramIntersectionDistanceFunction, HistogramMatchDistanceFunction, HistogramVisualization, HSBHistogramQuadraticDistanceFunction, HSMDimensionSimilarity, IdentityScaling, INFLO, InMemoryLSHIndex, InputStep, InputStreamDatabaseConnection, IntegerVector.Factory, InverseDocumentFrequencyNormalization, InvertedDistanceSimilarityFunction, JaccardPrimitiveSimilarityFunction, JeffreyDivergenceDistanceFunction, JensenShannonDivergenceDistanceFunction, JSONResultHandler, KappaDistribution, KDDCLIApplication, KDDTask, KeyVisualization, KMeansBatchedLloyd, KMeansBisecting, KMeansHybridLloydMacQueen, KMeansLloyd, KMeansMacQueen, KMediansLloyd, KMedoidsEM, KMedoidsPAM, KMLOutputHandler, KNNBenchmarkAlgorithm, KNNDistanceOrder, KNNJoin, KNNJoinMaterializeKNNPreprocessor.Factory, KNNKernelDensityMinimaClustering, KNNOutlier, KNNQueryFilteredPCAIndex.Factory, KNNWeightOutlier, KolmogorovSmirnovDistanceFunction, KolmogorovSmirnovTest, Kulczynski1DistanceFunction, Kulczynski1SimilarityFunction, Kulczynski2SimilarityFunction, KullbackLeiblerDivergenceAsymmetricDistanceFunction, KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction, LabelJoinDatabaseConnection, LabelVisualization, LaplaceDistribution, LaplaceKernelFunction, LatLngAsECEFIndex.Factory, LatLngDistanceFunction, LatLngToECEFProjection, LBABOD, LCSSDistanceFunction, LDF, LDOF, LeastEnlargementInsertionStrategy, LeastEnlargementWithAreaInsertionStrategy, LeastOverlapInsertionStrategy, LengthNormalization, LevenshteinDistanceFunction, LimitEigenPairFilter, LinearAdapterLinear, LinearKernelFunction, LinearScaling, LinearWeightedExtendedNeighborhood.Factory, LineVisualization, LMCLUS, LngLatAsECEFIndex.Factory, LngLatDistanceFunction, LngLatToECEFProjection, LnSimilarityAdapter, LocallyWeightedDistanceFunction, LocalSubspaceDistanceFunction, LOCI, LOF, LogGammaAlternateDistribution, LogGammaDistribution, LoggingStep, LogisticDistribution, LogLogisticDistribution, LogNormalDistribution, LogResultStructureResultHandler, LoOP, LorentzianDistanceFunction, LPIntegerNormDistanceFunction, LPNormDistanceFunction, ManhattanDistanceFunction, MarkerVisualization, MaterializeDistances, MaterializeKNNAndRKNNPreprocessor.Factory, MaterializeKNNPreprocessor.Factory, MaxExtensionBulkSplit, MaxExtensionSortTileRecursiveBulkSplit, MaximumDistanceFunction, MCEDimensionSimilarity, MetricalIndexApproximationMaterializeKNNPreprocessor.Factory, MiniGUI, MinimalisticMemoryKDTree.Factory, MinimumDistanceFunction, MinKDistance, MinusLogGammaScaling, MinusLogScaling, MinusLogStandardDeviationScaling, MixtureModelOutlierScalingFunction, MkAppTreeFactory, MkCopTreeFactory, MkMaxTreeFactory, MkTabTreeFactory, MoveObjectsToolVisualization, MTreeFactory, MultiLPNorm, MultiplicativeInverseScaling, MultiStepGUI, NaiveAgglomerativeHierarchicalClustering, NaiveAgglomerativeHierarchicalClustering1, NaiveAgglomerativeHierarchicalClustering2, NaiveAgglomerativeHierarchicalClustering3, NaiveAgglomerativeHierarchicalClustering4, NaiveMeanShiftClustering, NormalDistribution, NormalizedLevenshteinDistanceFunction, NormalizingEigenPairFilter, NullAlgorithm, NumberVectorLabelParser, NumericalFeatureSelection, ODIN, ODIN, OneDimensionalDoubleVector.Factory, OneDimSortBulkSplit, OnlineLOF, OPTICS, OPTICSClusterVisualization, OPTICSOF, OPTICSPlotCutVisualization, OPTICSPlotSelectionVisualization, OPTICSPlotVisualizer, OPTICSProjectorFactory, OPTICSSteepAreaVisualization, OPTICSXi, ORCLUS, OutlierGammaScaling, OutlierLinearScaling, OutlierMinusLogScaling, OutlierSqrtScaling, OutputStep, OutRankS1, OUTRES, P3C, PagedIndexFactory, ParallelAxisVisualization, ParallelPlotFactory, PartialVAFile.Factory, PartitionApproximationMaterializeKNNPreprocessor.Factory, PCABasedCorrelationDistanceFunction, PCAFilteredAutotuningRunner, PCAFilteredRunner, PCARunner, PearsonCorrelationDistanceFunction, PercentageEigenPairFilter, PINN, PixmapVisualizer, PoissonDistribution, PolygonVisualization, PolynomialKernelFunction, PrecomputedKNearestNeighborNeighborhood.Factory, PreDeCon, PreDeConSubspaceIndex.Factory, PresortedBlindJoinDatabaseConnection, PROCLUS, ProgressiveEigenPairFilter, ProjectedIndex.Factory, ProxyDistanceFunction, RadialBasisFunctionKernelFunction, RandomDoubleVectorDatabaseConnection, RandomGeneratedReferencePoints, RandomProjection, RandomSampleKNNPreprocessor.Factory, RandomSampleReferencePoints, RandomStableDistanceFunction, RangeQueryBenchmarkAlgorithm, RangeQueryFilteredPCAIndex.Factory, RankingPseudoOutlierScaling, RankingQualityHistogram, RANSACCovarianceMatrixBuilder, RationalQuadraticKernelFunction, RayleighDistribution, ReferenceBasedOutlierDetection, ReferencePointsVisualization, RelativeEigenPairFilter, RescaleMetaOutlierAlgorithm, ResultVisualizer, ResultWriter, RGBHistogramQuadraticDistanceFunction, RStarTreeFactory, RTreeLinearSplit, RTreeParallelVisualization, RTreeQuadraticSplit, SameSizeKMeansAlgorithm, ScatterPlotFactory, SelectionAxisRangeVisualization, SelectionConvexHullVisualization, SelectionCubeVisualization, SelectionDotVisualization, SelectionLineVisualization, SelectionToolAxisRangeVisualization, SelectionToolCubeVisualization, SelectionToolDotVisualization, SelectionToolLineVisualization, SettingsVisualization, SharedNearestNeighborJaccardDistanceFunction, SharedNearestNeighborPreprocessor.Factory, SharedNearestNeighborSimilarityFunction, ShortVector.Factory, SigmoidKernelFunction, SigmoidOutlierScalingFunction, SignificantEigenPairFilter, SimilarityBasedInitializationWithMedian, SimilarityMatrixVisualizer, SimpleCOP, SimpleKernelDensityLOF, SimpleOutlierEnsemble, SimplePolygonParser, SimpleScoreDumper, SimplifiedLOF, SkewGeneralizedNormalDistribution, SLINK, SLOM, SlopeDimensionSimilarity, SlopeInversionDimensionSimilarity, SNNClustering, SOD, SOF, SortTileRecursiveBulkSplit, SparseBitVectorLabelParser, SparseByteVector.Factory, SparseDoubleVector.Factory, SparseEuclideanDistanceFunction, SparseFloatVector.Factory, SparseFloatVectorLabelParser, SparseIntegerVector.Factory, SparseLPNormDistanceFunction, SparseManhattanDistanceFunction, SparseMaximumDistanceFunction, SparseNumberVectorLabelParser, SparseShortVector.Factory, SpatialApproximationMaterializeKNNPreprocessor.Factory, SpatialSortBulkSplit, SqrtJensenShannonDivergenceDistanceFunction, SqrtStandardDeviationScaling, SquaredEuclideanDistanceFunction, SquaredPearsonCorrelationDistanceFunction, StandardCovarianceMatrixBuilder, StandardDeviationScaling, StarBasedReferencePoints, StaticArrayDatabase, StringParser, StudentsTDistribution, SUBCLU, SubspaceEuclideanDistanceFunction, SubspaceLPNormDistanceFunction, SubspaceManhattanDistanceFunction, SubspaceMaximumDistanceFunction, SURFINGDimensionSimilarity, TermFrequencyParser, TFIDFNormalization, ToolBox2DVisualization, TooltipScoreVisualization, TooltipStringVisualization, TopKOutlierScaling, TopologicalSplitter, TreeMBRVisualization, TreeSphereVisualization, TrimmedMeanApproach, TrivialAllInOne, TrivialAllNoise, TrivialAllOutlier, TrivialAverageCoordinateOutlier, TrivialGeneratedOutlier, TrivialNoOutlier, TutorialDistanceFunction, UniformDistribution, UnweightedNeighborhoodAdapter.Factory, VAFile.Factory, ValidateApproximativeKNNIndex, VisualizeGeodesicDistances, VisualizePairwiseGainMatrix, VisualizerParameterizer, VoronoiVisualization, WaldDistribution, WeakEigenPairFilter, WeibullDistribution, WeightedCanberraDistanceFunction, WeightedCovarianceMatrixBuilder, WeightedDistanceFunction, WeightedEuclideanDistanceFunction, WeightedLPNormDistanceFunction, WeightedManhattanDistanceFunction, WeightedMaximumDistanceFunction, WeightedPearsonCorrelationDistanceFunction, WeightedSquaredEuclideanDistanceFunction, WeightedSquaredPearsonCorrelationDistanceFunction, WelchTTest, XYCurveVisualization

public interface Parameterizable

Interface to define the required methods for command line interaction. Important note:

Although this cannot be specified in a Java interface, any class implementing this interface must also have a constructor that takes a single Parameterization as option, which is used to set the class parameters.

Alternatively, a constructor with no options is also allowed.

This means, each class implementing Parameterizable must have a constructor that either is

 public Class(Parameterizable config) { ... }
 
 

or

 public Class() { ... }
 
 

Constructors MUST not do expensive operations or allocations, since they will also be called just to determine and validate parameters.

For documentation, the classes should also be annotated with Title Description and Reference (where possible).

Please check the package documentation for full information on this interface.

The application CheckParameterizables can be used to check this class contracts.