de.lmu.ifi.dbs.elki.result

Interface Result

All Known Subinterfaces:

Database, DistanceIndex<O>, DoubleRelation, DynamicIndex, FilteredLocalPCAIndex<NV>, HierarchicalResult, Index, IterableResult<O>, KNNIndex<O>, ModifiableRelation<O>, NeighborSetPredicate, OrderingResult, OutlierScoreMeta, PixmapResult, PreferenceVectorIndex<NV>, RangeIndex<O>, Relation<O>, RKNNIndex<O>, SharedNearestNeighborIndex<O>, SimilarityIndex<O>, SimilarityRangeIndex<O>, UpdatableDatabase

All Known Implementing Classes:

AbstractCoverTree, AbstractDatabase, AbstractFilteredPCAIndex, AbstractHierarchicalResult, AbstractIndex, AbstractMaterializeKNNPreprocessor, AbstractMkTree, AbstractMkTreeUnified, AbstractMTree, AbstractPrecomputedNeighborhood, AbstractPreferenceVectorIndex, AbstractPreprocessorIndex, AbstractRefiningIndex, AbstractRelation, AbstractRStarTree, AssociationRuleResult, BasicOutlierScoreMeta, BasicResult, CachedDoubleDistanceKNNPreprocessor, ChangePoints, Clustering, ClusterOrder, CollectionResult, ComputeSimilarityMatrixImage.SimilarityMatrix, ConfusionMatrixEvaluationResult, ConvertToStringView, CorrelationAnalysisSolution, CorrelationClusterOrder, CoverTree, DBIDView, DeLiCluTree, DeLiCluTreeIndex, DiSH.DiSHClusterOrder, DiSHPreferenceVectorIndex, EvaluateClustering.ScoreResult, EvaluateRetrievalPerformance.RetrievalPerformanceResult, EvaluationResult, ExtendedNeighborhood, ExternalNeighborhood, FlatRStarTree, FlatRStarTreeIndex, FrequentItemsetsResult, HashmapDatabase, HiSCPreferenceVectorIndex, HistogramResult, IndexStatistics.IndexMetaResult, IndexTree, InMemoryIDistanceIndex, InMemoryInvertedIndex, InMemoryLSHIndex.Instance, InvertedOutlierScoreMeta, JudgeOutlierScores.ScoreResult, KNNDistancesSampler.KNNDistanceOrderResult, KNNJoinMaterializeKNNPreprocessor, KNNQueryFilteredPCAIndex, LatLngAsECEFIndex, LngLatAsECEFIndex, MaterializedDoubleRelation, MaterializedRelation, MaterializeKNNAndRKNNPreprocessor, MaterializeKNNPreprocessor, MetricalIndexApproximationMaterializeKNNPreprocessor, MetricalIndexTree, MinimalisticMemoryKDTree, MkAppTree, MkAppTreeIndex, MkCoPTree, MkCoPTreeIndex, MkMaxTree, MkMaxTreeIndex, MkTabTree, MkTabTreeIndex, MTree, MTreeIndex, NaiveProjectedKNNPreprocessor, NNDescent, NonFlatRStarTree, OPTICSPlot, OPTICSXi.SteepAreaResult, OrderingFromDataStore, OrderingFromRelation, OutlierPrecisionAtKCurve.PrecisionAtKCurve, OutlierPrecisionRecallCurve.PRCurve, OutlierResult, OutlierROCCurve.ROCResult, OutlierSmROCCurve.SmROCResult, PartialVAFile, PartitionApproximationMaterializeKNNPreprocessor, PointerDensityHierarchyRepresentationResult, PointerHierarchyRepresentationResult, PointerPrototypeHierarchyRepresentationResult, PrecomputedDistanceMatrix, PrecomputedKNearestNeighborNeighborhood, PrecomputedSimilarityMatrix, ProbabilisticOutlierScore, ProjectedIndex, ProjectedView, ProxyDatabase, ProxyView, QuotientOutlierScoreMeta, RandomSampleKNNPreprocessor, RdKNNTree, ReferencePointsResult, RepresentativeUncertainClustering.RepresentativenessEvaluation, RStarTree, RStarTreeIndex, SamplingResult, ScalesResult, Segments, SelectionResult, SettingsResult, SharedNearestNeighborPreprocessor, SimplifiedCoverTree, SmallMemoryKDTree, SpacefillingKNNPreprocessor, SpacefillingMaterializeKNNPreprocessor, SpatialApproximationMaterializeKNNPreprocessor, SpatialIndexTree, StaticArrayDatabase, VAFile, VisualizerContext, XYCurve, XYPlot

public interface Result

Interface for arbitrary result objects.

Since:

0.2

Author:

Erich Schubert

Method Summary

Modifier and Type	Method and Description
java.lang.String	getLongName() A "pretty" name for the result, for use in titles, captions and menus.
java.lang.String	getShortName() A short name for the result, useful for file names.

Method Detail

getLongName

java.lang.String getLongName()

A "pretty" name for the result, for use in titles, captions and menus.

Returns:

result name

getShortName

java.lang.String getShortName()

A short name for the result, useful for file names.

Returns:

result name