Uses of Interface
elki.database.Database

Packages that use Database

Package	Description
elki	ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures".
elki.algorithm	Miscellaneous algorithms.
elki.algorithm.statistics	Statistical analysis algorithms.
elki.application.benchmark	Benchmarking pseudo algorithms.
elki.application.cache	Utility applications for the persistence layer such as distance cache builders.
elki.classification	Classification algorithms.
elki.clustering	Clustering algorithms.
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.parallel	Parallel versions of Generalized DBSCAN.
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.
elki.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
elki.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
elki.clustering.meta	Meta clustering algorithms, that get their result from other clusterings or external sources.
elki.clustering.optics	OPTICS family of clustering algorithms.
elki.clustering.trivial	Trivial clustering algorithms: all in one, no clusters, label clusterings.
elki.clustering.uncertain	Clustering algorithms for uncertain data.
elki.database	ELKI database layer - loading, storing, indexing and accessing data.
elki.evaluation	Functionality for the evaluation of algorithms.
elki.evaluation.clustering	Evaluation of clustering results.
elki.evaluation.clustering.extractor	Classes to extract clusterings from hierarchical clustering.
elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.
elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
elki.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
elki.itemsetmining.associationrules	Association rule mining.
elki.outlier	Outlier detection algorithms.
elki.outlier.clustering	Clustering based outlier detection.
elki.outlier.density	Density-based outlier detection algorithms.
elki.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
elki.outlier.spatial	Spatial outlier detection algorithms.
elki.outlier.spatial.neighborhood	Spatial outlier neighborhood classes.
elki.outlier.spatial.neighborhood.weighted	Weighted neighborhood definitions.
elki.outlier.subspace	Subspace outlier detection methods.
elki.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
elki.projection	Data projections (see also preprocessing filters for basic projections).
elki.result	Result types, representation and handling.
elki.result.textwriter	Text serialization (CSV, Gnuplot, Console, ...).
elki.visualization	Visualization package of ELKI.
elki.workflow	Work flow packages, e.g., following the usual KDD model.

Uses of Database in elki

Methods in elki with parameters of type Database

Modifier and Type	Method	Description
default java.lang.Object	Algorithm.autorun(Database database)	Try to auto-run the algorithm on a database by calling a method called run, with an optional Database first, and with data relations as specified by Algorithm.getInputTypeRestriction().
static java.lang.Object	Algorithm.Utils.autorun(Algorithm a, Database database)	Try to auto-run the algorithm on a database by calling a method called run, with an optional Database first, and with data relations as specified by Algorithm.getInputTypeRestriction().

Uses of Database in elki.algorithm

Methods in elki.algorithm with parameters of type Database

Modifier and Type	Method	Description
Relation<KNNList>	KNNJoin.autorun(Database database)
java.lang.Void	NullAlgorithm.autorun(Database database)

Uses of Database in elki.algorithm.statistics

Methods in elki.algorithm.statistics with parameters of type Database

Modifier and Type	Method	Description
java.lang.Void	AddSingleScale.run(Database database)	Run the algorithm on all vector relations of a database.
java.lang.Void	AddUniformScale.run(Database database)	Run the algorithm on all vector relations of a database.
HistogramResult	DistanceStatisticsWithClasses.run(Database database, Relation<O> relation)
HistogramResult	EvaluateRankingQuality.run(Database database, Relation<V> relation)	Run the algorithm.
HistogramResult	RankingQualityHistogram.run(Database database, Relation<O> relation)	Process a relation

Uses of Database in elki.application.benchmark

Methods in elki.application.benchmark with parameters of type Database

Modifier and Type	Method	Description
private void	KNNBenchmark.logIndexStatistics(Database database)	Log index statistics before and after querying.
private void	PrioritySearchBenchmark.logIndexStatistics(Database database)	Log index statistics before and after querying.
private void	RangeQueryBenchmark.logIndexStatistics(Database database)	Log index statistics before and after querying.

Uses of Database in elki.application.cache

Fields in elki.application.cache declared as Database

Modifier and Type	Field	Description
private Database	CacheDoubleDistanceInOnDiskMatrix.database	Data source to process.
private Database	CacheDoubleDistanceInOnDiskMatrix.Par.database	Data source to process.
private Database	CacheDoubleDistanceKNNLists.database	Data source to process.
private Database	CacheDoubleDistanceKNNLists.Par.database	Data source to process.
private Database	CacheDoubleDistanceRangeQueries.database	Data source to process.
private Database	CacheDoubleDistanceRangeQueries.Par.database	Data source to process.
private Database	CacheFloatDistanceInOnDiskMatrix.database	Data source to process.
private Database	CacheFloatDistanceInOnDiskMatrix.Par.database	Data source to process.
private Database	PrecomputeDistancesAsciiApplication.database	Data source to process.
private Database	PrecomputeDistancesAsciiApplication.Par.database	Data source to process.

Constructors in elki.application.cache with parameters of type Database

Constructor	Description
CacheDoubleDistanceInOnDiskMatrix(Database database, Distance<? super O> distance, java.nio.file.Path out)	Constructor.
CacheDoubleDistanceKNNLists(Database database, Distance<? super O> distance, int k, java.nio.file.Path out)	Constructor.
CacheDoubleDistanceRangeQueries(Database database, Distance<? super O> distance, double radius, java.nio.file.Path out)	Constructor.
CacheFloatDistanceInOnDiskMatrix(Database database, Distance<? super O> distance, java.nio.file.Path out)	Constructor.
PrecomputeDistancesAsciiApplication(Database database, Distance<? super O> distance, java.nio.file.Path out)	Constructor.

Uses of Database in elki.classification

Methods in elki.classification with parameters of type Database

Modifier and Type	Method	Description
R	AbstractClassifier.autorun(Database database)	Deprecated.
void	Classifier.buildClassifier(Database database, Relation<? extends ClassLabel> classLabels)	Performs the training.
void	KNNClassifier.buildClassifier(Database database, Relation<? extends ClassLabel> labels)
void	PriorProbabilityClassifier.buildClassifier(Database database, Relation<? extends ClassLabel> labelrep)	Learns the prior probability for all classes.

Uses of Database in elki.clustering

Methods in elki.clustering with parameters of type Database

Modifier and Type	Method	Description
default C	ClusteringAlgorithm.autorun(Database database)

Uses of Database in elki.clustering.correlation

Methods in elki.clustering.correlation with parameters of type Database

Modifier and Type	Method	Description
Clustering<DimensionModel>	COPAC.run(Database database, Relation<? extends NumberVector> relation)	Run the COPAC algorithm.
Clustering<CorrelationModel>	ERiC.run(Database database, Relation<? extends NumberVector> relation)	Performs the ERiC algorithm on the given database.

Uses of Database in elki.clustering.dbscan

Methods in elki.clustering.dbscan with parameters of type Database

Modifier and Type	Method	Description
Clustering<Model>	GeneralizedDBSCAN.autorun(Database database)

Uses of Database in elki.clustering.dbscan.parallel

Fields in elki.clustering.dbscan.parallel declared as Database

Modifier and Type	Field	Description
private Database	ParallelGeneralizedDBSCAN.Instance.database	Database for cloning neighbor predicates.

Methods in elki.clustering.dbscan.parallel with parameters of type Database

Modifier and Type	Method	Description
Clustering<Model>	ParallelGeneralizedDBSCAN.autorun(Database database)

Constructors in elki.clustering.dbscan.parallel with parameters of type Database

Constructor	Description
Instance(Database database, NeighborPredicate<T> npreds, CorePredicate<? super T> corepred, boolean coremodel)	Full Constructor

Uses of Database in elki.clustering.dbscan.predicates

Methods in elki.clustering.dbscan.predicates with parameters of type Database

Modifier and Type	Method	Description
NeighborPredicate.Instance<COPACNeighborPredicate.COPACModel>	COPACNeighborPredicate.instantiate(Database database)
CorePredicate.Instance<T>	CorePredicate.instantiate(Database database)	Instantiate for a database.
EpsilonNeighborPredicate.Instance	EpsilonNeighborPredicate.instantiate(Database database)
ERiCNeighborPredicate.Instance	ERiCNeighborPredicate.instantiate(Database database)
FourCCorePredicate.Instance	FourCCorePredicate.instantiate(Database database)
FourCNeighborPredicate.Instance	FourCNeighborPredicate.instantiate(Database database)
MinPtsCorePredicate.Instance	MinPtsCorePredicate.instantiate(Database database)
NeighborPredicate.Instance<T>	NeighborPredicate.instantiate(Database database)	Instantiate for a database.
PreDeConCorePredicate.Instance	PreDeConCorePredicate.instantiate(Database database)
PreDeConNeighborPredicate.Instance	PreDeConNeighborPredicate.instantiate(Database database)
SimilarityNeighborPredicate.Instance	SimilarityNeighborPredicate.instantiate(Database database)

Uses of Database in elki.clustering.hierarchical

Methods in elki.clustering.hierarchical with parameters of type Database

Modifier and Type	Method	Description
default ClusterMergeHistory	HierarchicalClusteringAlgorithm.autorun(Database database)
ClusterMergeHistory	OPTICSToHierarchical.autorun(Database database)

Uses of Database in elki.clustering.hierarchical.extraction

Methods in elki.clustering.hierarchical.extraction with parameters of type Database

Modifier and Type	Method	Description
Clustering<Model>	ClustersWithNoiseExtraction.autorun(Database database)
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.autorun(Database database)
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.autorun(Database database)
Clustering<DendrogramModel>	AbstractCutDendrogram.run(Database database)	Run the algorithms on a database.

Uses of Database in elki.clustering.meta

Methods in elki.clustering.meta with parameters of type Database

Modifier and Type	Method	Description
Clustering<? extends Model>	ExternalClustering.autorun(Database database)	Run the algorithm.

Uses of Database in elki.clustering.optics

Methods in elki.clustering.optics with parameters of type Database

Modifier and Type	Method	Description
default ClusterOrder	OPTICSTypeAlgorithm.autorun(Database database)
Clustering<OPTICSModel>	OPTICSXi.autorun(Database database)

Uses of Database in elki.clustering.trivial

Methods in elki.clustering.trivial with parameters of type Database

Modifier and Type	Method	Description
Clustering<Model>	ByLabelClustering.autorun(Database database)
Clustering<Model>	ByLabelHierarchicalClustering.autorun(Database database)
Clustering<Model>	ByLabelOrAllInOneClustering.autorun(Database database)

Uses of Database in elki.clustering.uncertain

Methods in elki.clustering.uncertain with parameters of type Database

Modifier and Type	Method	Description
FDBSCANNeighborPredicate.Instance	FDBSCANNeighborPredicate.instantiate(Database database)
Clustering<?>	RepresentativeUncertainClustering.run(Database database, Relation<? extends UncertainObject> relation)	This run method will do the wrapping.

Uses of Database in elki.database

Subinterfaces of Database in elki.database

Modifier and Type	Interface	Description
interface	UpdatableDatabase	Database API with updates.

Classes in elki.database that implement Database

Modifier and Type	Class	Description
class	AbstractDatabase	Abstract base class for database API implementations.
class	HashmapDatabase	Database storing data using hashtable storage, and thus allowing additional and removal of objects.
class	ProxyDatabase	A proxy database to use, e.g., for projections and partitions.
class	StaticArrayDatabase	This database class uses array-based storage and thus does not allow for dynamic insert, delete and update operations.

Methods in elki.database that return Database

Modifier and Type	Method	Description
abstract Database	AbstractDatabase.Par.make()

Methods in elki.database with parameters of type Database

Modifier and Type	Method	Description
static java.util.SortedSet<ClassLabel>	DatabaseUtil.getClassLabels(Database database)	Retrieves all class labels within the database.
static ArrayModifiableDBIDs	DatabaseUtil.getObjectsByLabelMatch(Database database, java.util.regex.Pattern name_pattern)	Find object by matching their labels.
static Relation<java.lang.String>	DatabaseUtil.guessLabelRepresentation(Database database)	Guess a potentially label-like representation, preferring class labels.
static Relation<java.lang.String>	DatabaseUtil.guessObjectLabelRepresentation(Database database)	Guess a potentially object label-like representation.

Constructors in elki.database with parameters of type Database

Constructor	Description
ProxyDatabase(DBIDs ids, Database database)	Constructor, proxying all relations of an existing database.

Uses of Database in elki.evaluation

Methods in elki.evaluation with parameters of type Database

Modifier and Type	Method	Description
static void	AutomaticEvaluation.ensureClusteringResult(Database db)	Ensure that the result contains at least one Clustering.

Uses of Database in elki.evaluation.clustering

Methods in elki.evaluation.clustering with parameters of type Database

Modifier and Type	Method	Description
protected void	EvaluateClustering.evaluteResult(Database db, Clustering<?> c, Clustering<?> refc)	Evaluate a clustering result.

Uses of Database in elki.evaluation.clustering.extractor

Methods in elki.evaluation.clustering.extractor with parameters of type Database

Modifier and Type	Method	Description
ClusterMergeHistory	CutDendrogramByHeightExtractor.DummyHierarchicalClusteringAlgorithm.autorun(Database db)

Uses of Database in elki.evaluation.clustering.internal

Methods in elki.evaluation.clustering.internal with parameters of type Database

Modifier and Type	Method	Description
double	ClusterRadius.evaluateClustering(Database db, Relation<? extends NumberVector> rel, Clustering<?> c)	Evaluate a single clustering.

Uses of Database in elki.evaluation.outlier

Methods in elki.evaluation.outlier with parameters of type Database

Modifier and Type	Method	Description
HistogramResult	ComputeOutlierHistogram.evaluateOutlierResult(Database database, OutlierResult or)	Evaluate a single outlier result as histogram.

Uses of Database in elki.itemsetmining

Methods in elki.itemsetmining with parameters of type Database

Modifier and Type	Method	Description
FrequentItemsetsResult	AbstractFrequentItemsetAlgorithm.autorun(Database database)

Uses of Database in elki.itemsetmining.associationrules

Methods in elki.itemsetmining.associationrules with parameters of type Database

Modifier and Type	Method	Description
AssociationRuleResult	AssociationRuleGeneration.autorun(Database database)	Run on a database

Uses of Database in elki.outlier

Methods in elki.outlier with parameters of type Database

Modifier and Type	Method	Description
default OutlierResult	OutlierAlgorithm.autorun(Database database)

Uses of Database in elki.outlier.clustering

Methods in elki.outlier.clustering with parameters of type Database

Modifier and Type	Method	Description
OutlierResult	KMeansMinusMinusOutlierDetection.autorun(Database database)
OutlierResult	NoiseAsOutliers.autorun(Database database)
OutlierResult	SilhouetteOutlierDetection.autorun(Database database)	Run the Silhouette score as outlier method.
OutlierResult	CBLOF.run(Database database, Relation<O> relation)	Run CBLOF.
OutlierResult	DBSCANOutlierDetection.run(Database db, Relation<? extends NumberVector> relation)	Runs the algorithm in the timed evaluation part.
OutlierResult	GLOSH.run(Database db, Relation<? extends NumberVector> relation)

Uses of Database in elki.outlier.density

Methods in elki.outlier.density with parameters of type Database

Modifier and Type	Method	Description
OutlierResult	HySortOD.run(Database db, Relation<? extends NumberVector> relation)

Uses of Database in elki.outlier.meta

Methods in elki.outlier.meta with parameters of type Database

Modifier and Type	Method	Description
OutlierResult	RescaleMetaOutlierAlgorithm.autorun(Database database)
OutlierResult	SimpleOutlierEnsemble.autorun(Database database)

Uses of Database in elki.outlier.spatial

Methods in elki.outlier.spatial with parameters of type Database

Modifier and Type	Method	Description
OutlierResult	CTLuMeanMultipleAttributes.run(Database database, Relation<N> spatial, Relation<O> attributes)	Run the algorithm
OutlierResult	CTLuMedianAlgorithm.run(Database database, Relation<N> nrel, Relation<? extends NumberVector> relation)	Main method.
OutlierResult	CTLuMedianMultipleAttributes.run(Database database, Relation<N> spatial, Relation<O> attributes)	Run the algorithm
OutlierResult	CTLuMoranScatterplotOutlier.run(Database database, Relation<N> nrel, Relation<? extends NumberVector> relation)	Main method.
OutlierResult	CTLuScatterplotOutlier.run(Database database, Relation<N> nrel, Relation<? extends NumberVector> relation)	Main method.
OutlierResult	CTLuZTestOutlier.run(Database database, Relation<N> nrel, Relation<? extends NumberVector> relation)	Main method.
OutlierResult	SLOM.run(Database database, Relation<N> spatial, Relation<O> relation)
OutlierResult	SOF.run(Database database, Relation<N> spatial, Relation<O> relation)	The main run method
OutlierResult	TrimmedMeanApproach.run(Database database, Relation<N> nrel, Relation<? extends NumberVector> relation)	Run the algorithm.

Uses of Database in elki.outlier.spatial.neighborhood

Methods in elki.outlier.spatial.neighborhood with parameters of type Database

Modifier and Type	Method	Description
private DataStore<DBIDs>	ExtendedNeighborhood.Factory.extendNeighborhood(Database database, Relation<? extends O> relation)	Method to load the external neighbors.
NeighborSetPredicate	ExtendedNeighborhood.Factory.instantiate(Database database, Relation<? extends O> relation)
NeighborSetPredicate	ExternalNeighborhood.Factory.instantiate(Database database, Relation<?> relation)
NeighborSetPredicate	NeighborSetPredicate.Factory.instantiate(Database database, Relation<? extends O> relation)	Instantiation method.
NeighborSetPredicate	PrecomputedKNearestNeighborNeighborhood.Factory.instantiate(Database database, Relation<? extends O> relation)
private DataStore<DBIDs>	ExternalNeighborhood.Factory.loadNeighbors(Database database, Relation<?> relation)	Method to load the external neighbors.

Uses of Database in elki.outlier.spatial.neighborhood.weighted

Methods in elki.outlier.spatial.neighborhood.weighted with parameters of type Database

Modifier and Type	Method	Description
LinearWeightedExtendedNeighborhood	LinearWeightedExtendedNeighborhood.Factory.instantiate(Database database, Relation<? extends O> relation)
UnweightedNeighborhoodAdapter	UnweightedNeighborhoodAdapter.Factory.instantiate(Database database, Relation<? extends O> relation)
WeightedNeighborSetPredicate	WeightedNeighborSetPredicate.Factory.instantiate(Database database, Relation<? extends O> relation)	Instantiation method.

Uses of Database in elki.outlier.subspace

Methods in elki.outlier.subspace with parameters of type Database

Modifier and Type	Method	Description
OutlierResult	OutRankS1.autorun(Database database)

Uses of Database in elki.outlier.trivial

Methods in elki.outlier.trivial with parameters of type Database

Modifier and Type	Method	Description
OutlierResult	ByLabelOutlier.autorun(Database database)
OutlierResult	TrivialGeneratedOutlier.autorun(Database database)

Uses of Database in elki.projection

Methods in elki.projection with parameters of type Database

Modifier and Type	Method	Description
Relation<DoubleVector>	SNE.autorun(Database database)
Relation<DoubleVector>	TSNE.autorun(Database database)
Relation<DoubleVector>	BarnesHutTSNE.run(Database database, Relation<O> relation)

Uses of Database in elki.result

Methods in elki.result that return Database

Modifier and Type	Method	Description
static Database	ResultUtil.findDatabase(java.lang.Object result)	Find the first database result in the tree.

Methods in elki.result with parameters of type Database

Modifier and Type	Method	Description
static SelectionResult	SelectionResult.ensureSelectionResult(Database db)	Ensure that there also is a selection container object.
private void	KMLOutputHandler.writeClusteringResult(javax.xml.stream.XMLStreamWriter xmlw, Clustering<Model> clustering, Database database)
private void	KMLOutputHandler.writeOutlierResult(javax.xml.stream.XMLStreamWriter xmlw, OutlierResult outlierResult, Database database)

Uses of Database in elki.result.textwriter

Methods in elki.result.textwriter with parameters of type Database

Modifier and Type	Method	Description
void	TextWriter.output(Database db, java.lang.Object r, StreamFactory streamOpener, java.util.regex.Pattern filter)	Stream output.
private void	TextWriter.printObject(TextWriterStream out, Database db, DBIDRef objID, java.util.List<Relation<?>> ra)
private void	TextWriter.writeClusterResult(Database db, StreamFactory streamOpener, Clustering<Model> clustering, Cluster<Model> clus, java.util.List<Relation<?>> ra, NamingScheme naming)
private void	TextWriter.writeOrderingResult(Database db, StreamFactory streamOpener, OrderingResult or, java.util.List<Relation<?>> ra)

Uses of Database in elki.visualization

Methods in elki.visualization with parameters of type Database

Modifier and Type	Method	Description
static java.lang.String	VisualizerParameterizer.getTitle(Database db, java.lang.Object result)	Try to automatically generate a title for this.

Uses of Database in elki.workflow

Fields in elki.workflow declared as Database

Modifier and Type	Field	Description
private Database	InputStep.database	Holds the database to have the algorithms run with.
protected Database	InputStep.Par.database	Holds the database to have the algorithms run on.

Methods in elki.workflow that return Database

Modifier and Type	Method	Description
Database	InputStep.getDatabase()	Get the database to use.

Methods in elki.workflow with parameters of type Database

Modifier and Type	Method	Description
java.lang.Object	AlgorithmStep.runAlgorithms(Database database)	Run algorithms.
void	EvaluationStep.runEvaluators(Database db)
void	OutputStep.runResultHandlers(Database db)	Run the result handlers.

Constructors in elki.workflow with parameters of type Database

Constructor	Description
Evaluation(java.util.List<? extends Evaluator> evaluators, Database db)	Constructor.
InputStep(Database database)	Constructor.