Uses of Interface
elki.database.ids.DBIDs

Packages that use DBIDs

Package	Description
elki.algorithm	Miscellaneous algorithms.
elki.application.greedyensemble	Greedy ensembles for outlier detection.
elki.clustering	Clustering algorithms.
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.correlation.cash	Helper classes for the CASH algorithm.
elki.clustering.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.
elki.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
elki.clustering.hierarchical.birch	BIRCH clustering.
elki.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
elki.clustering.kmeans	K-means clustering and variations.
elki.clustering.kmeans.initialization	Initialization strategies for k-means.
elki.clustering.kmeans.spherical	Spherical k-means clustering and variations.
elki.clustering.kmedoids	K-medoids clustering (PAM).
elki.clustering.kmedoids.initialization
elki.clustering.optics	OPTICS family of clustering algorithms.
elki.clustering.silhouette	Silhouette clustering algorithms.
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.
elki.clustering.subspace.clique	Helper classes for the CLIQUE algorithm.
elki.clustering.trivial	Trivial clustering algorithms: all in one, no clusters, label clusterings.
elki.clustering.uncertain	Clustering algorithms for uncertain data.
elki.data	Basic classes for different data types, database object types and label types.
elki.data.model	Cluster models classes for various algorithms.
elki.data.type	Data type information, also used for type restrictions.
elki.database	ELKI database layer - loading, storing, indexing and accessing data.
elki.database.datastore	General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
elki.database.datastore.memory	Memory data store implementation for ELKI.
elki.database.ids	Database object identification and ID group handling API.
elki.database.ids.integer	Integer-based DBID implementation -- do not use directly - always use DBIDUtil.
elki.database.relation	Relations, materialized and virtual (views).
elki.distance	Distance functions for use within ELKI.
elki.evaluation.clustering.pairsegments	Pair-segment analysis of multiple clusterings.
elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
elki.evaluation.scores	Evaluation of rankings and scorings.
elki.evaluation.scores.adapter	Adapter classes for ranking and scoring measures.
elki.index	Index structure implementations.
elki.index.lsh	Locality Sensitive Hashing.
elki.index.preprocessed.fastoptics	Preprocessed index used by the FastOPTICS algorithm.
elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
elki.index.tree.betula	BETULA clustering by aggregating the data into cluster features.
elki.index.tree.metrical.covertree	Cover-tree variations.
elki.index.tree.metrical.mtreevariants.mktrees	Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.
elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree.
elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree.
elki.index.tree.metrical.mtreevariants.mtree	MTree.
elki.index.tree.metrical.vptree
elki.index.tree.spatial.kd	K-d-tree and variants.
elki.index.tree.spatial.rstarvariants.deliclu	DeLiCluTree.
elki.index.tree.spatial.rstarvariants.flat	FlatRStarTree.
elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree.
elki.index.tree.spatial.rstarvariants.rstar	RStarTree.
elki.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
elki.math.linearalgebra	The linear algebra package provides classes and computational methods for operations on matrices and vectors.
elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and eigenvector processing.
elki.math.spacefillingcurves	Space filling curves.
elki.math.statistics.intrinsicdimensionality	Methods for estimating the intrinsic dimensionality.
elki.outlier	Outlier detection algorithms.
elki.outlier.anglebased	Angle-based outlier detection algorithms.
elki.outlier.density	Density-based outlier detection algorithms.
elki.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
elki.outlier.lof	LOF family of outlier detection algorithms.
elki.outlier.spatial.neighborhood	Spatial outlier neighborhood classes.
elki.outlier.subspace	Subspace outlier detection methods.
elki.parallel	Parallel processing core for ELKI.
elki.result	Result types, representation and handling.
elki.result.outlier	Outlier result classes.
elki.similarity	Similarity functions.
elki.similarity.kernel	Kernel functions.
elki.svm.data
elki.utilities.datastructures.unionfind	Union-find data structures.
elki.visualization.style	Style management for ELKI visualizations.
elki.visualization.visualizers.scatterplot.selection	Visualizers for object selection based on 2D projections.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

Uses of DBIDs in elki.algorithm

Methods in elki.algorithm with parameters of type DBIDs

Modifier and Type	Method	Description
CorrelationAnalysisSolution	DependencyDerivator.generateModel(Relation<V> db, DBIDs ids)	Runs the pca on the given set of IDs.
CorrelationAnalysisSolution	DependencyDerivator.generateModel(Relation<V> relation, DBIDs ids, double[] centroid)	Runs the pca on the given set of IDs and for the given centroid.
WritableDataStore<KNNList>	KNNJoin.run(Relation<? extends SpatialComparable> relation, DBIDs ids)	Inner run method.
WritableDataStore<KNNList>	KNNJoin.run(AbstractRStarTree<?,?,?> idx, DBIDs ids)	Inner run method.

Uses of DBIDs in elki.application.greedyensemble

Methods in elki.application.greedyensemble with parameters of type DBIDs

Modifier and Type	Method	Description
static Relation<NumberVector>	GreedyEnsembleExperiment.applyPrescaling(ScalingFunction scaling, Relation<NumberVector> relation, DBIDs skip)	Prescale each vector (except when in skip) with the given scaling function.
(package private) void	ComputeKNNOutlierScores.writeResult(java.lang.Appendable out, DBIDs ids, OutlierResult result, ScalingFunction scaling, java.lang.String label)	Write a single output line.

Uses of DBIDs in elki.clustering

Methods in elki.clustering with parameters of type DBIDs

Modifier and Type	Method	Description
static ArrayModifiableDBIDs[]	ClusteringAlgorithmUtil.partitionsFromIntegerLabels(DBIDs ids, IntegerDataStore assignment, int k)	Collect clusters from their [0;k-1] integer labels.

Uses of DBIDs in elki.clustering.correlation

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

Modifier and Type	Method	Description
private MaterializedRelation<ParameterizationFunction>	CASH.buildDB(int dim, double[][] basis, DBIDs ids, Relation<ParameterizationFunction> relation)	Builds a dim-1 dimensional database where the objects are projected into the specified subspace.
private Relation<DoubleVector>	CASH.buildDerivatorDB(Relation<ParameterizationFunction> relation, DBIDs ids)	Builds a database for the derivator consisting of the ids in the specified interval.
private LMCLUS.Separation	LMCLUS.findSeparation(Relation<? extends NumberVector> relation, DBIDs currentids, int dimension, java.util.Random r)	This method samples a number of linear manifolds an tries to determine which the one with the best cluster is.
private void	CASH.initHeap(ObjectHeap<CASHInterval> heap, Relation<ParameterizationFunction> relation, int dim, DBIDs ids)	Initializes the heap with the root intervals.
private LinearEquationSystem	CASH.runDerivator(Relation<ParameterizationFunction> relation, int dimensionality, DBIDs ids)	Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.

Uses of DBIDs in elki.clustering.correlation.cash

Methods in elki.clustering.correlation.cash with parameters of type DBIDs

Modifier and Type	Method	Description
ModifiableDBIDs	CASHIntervalSplit.determineIDs(DBIDs superSetIDs, HyperBoundingBox interval, double d_min, double d_max)	Determines the ids belonging to the given interval, i.e. the parameterization functions falling within the interval.
void	CASHInterval.removeIDs(DBIDs ids2)	Removes the specified ids from this interval.

Uses of DBIDs in elki.clustering.dbscan

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

Modifier and Type	Method	Description
protected Clustering<Model>	GriDBSCAN.Instance.buildResult(DBIDs ids, int clusterid)	Assemble the clustering result.
protected int	LSDBC.expandCluster(int clusterid, WritableIntegerDataStore clusterids, KNNSearcher<DBIDRef> knnq, DBIDs neighbors, double maxkdist, FiniteProgress progress)	Set-based expand cluster implementation.
private void	LSDBC.fillDensities(KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDoubleDataStore dens)	Collect all densities into an array for sorting.
private boolean	LSDBC.isLocalMaximum(double kdist, DBIDs neighbors, WritableDoubleDataStore kdists)	Test if a point is a local density maximum.
private int	GriDBSCAN.Instance.runDBSCANOnCell(DBIDs cellids, Relation<V> relation, ModifiableDoubleDBIDList neighbors, ArrayModifiableDBIDs activeSet, int clusterid)

Uses of DBIDs in elki.clustering.dbscan.predicates

Classes in elki.clustering.dbscan.predicates that implement DBIDs

Modifier and Type	Class	Description
static class	COPACNeighborPredicate.COPACModel	Model used by COPAC for core point property.

Fields in elki.clustering.dbscan.predicates declared as DBIDs

Modifier and Type	Field	Description
protected DBIDs	AbstractRangeQueryNeighborPredicate.Instance.ids	DBIDs to process
protected DBIDs	EpsilonNeighborPredicate.Instance.ids	DBIDs to process
protected DBIDs	SimilarityNeighborPredicate.Instance.ids	DBIDs to process

Methods in elki.clustering.dbscan.predicates that return DBIDs

Modifier and Type	Method	Description
DBIDs	AbstractRangeQueryNeighborPredicate.Instance.getIDs()
DBIDs	EpsilonNeighborPredicate.Instance.getIDs()
DBIDs	NeighborPredicate.Instance.getIDs()	Get the IDs the predicate is defined for.
DBIDs	SimilarityNeighborPredicate.Instance.getIDs()
DBIDs	ERiCNeighborPredicate.Instance.getNeighbors(DBIDRef reference)

Methods in elki.clustering.dbscan.predicates that return types with arguments of type DBIDs

Modifier and Type	Method	Description
SimpleTypeInformation<DBIDs>	ERiCNeighborPredicate.getOutputType()

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

Modifier and Type	Method	Description
boolean	MinPtsCorePredicate.Instance.isCorePoint(DBIDRef point, DBIDs neighbors)
DBIDIter	ERiCNeighborPredicate.Instance.iterDBIDs(DBIDs neighbors)

Method parameters in elki.clustering.dbscan.predicates with type arguments of type DBIDs

Modifier and Type	Method	Description
boolean	MinPtsCorePredicate.acceptsType(SimpleTypeInformation<? extends DBIDs> type)

Constructors in elki.clustering.dbscan.predicates with parameters of type DBIDs

Constructor	Description
Instance(DBIDs ids, DataStore<M> storage)	Constructor.
Instance(DBIDs ids, DataStore<COPACNeighborPredicate.COPACModel> storage)	Constructor.
Instance(double epsilon, RangeSearcher<DBIDRef> rq, DBIDs ids)	Constructor.
Instance(DBIDs ids, DataStore<PCAFilteredResult> storage, Relation<? extends NumberVector> relation)	Constructor.
Instance(DBIDs ids, DataStore<PreDeConNeighborPredicate.PreDeConModel> storage)	Constructor.
Instance(DBIDs ids, DataStore<PreDeConNeighborPredicate.PreDeConModel> storage)	Constructor.
Instance(double epsilon, RangeSearcher<DBIDRef> rq, DBIDs ids)	Constructor.

Uses of DBIDs in elki.clustering.hierarchical

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

Modifier and Type	Method	Description
protected WritableDoubleDataStore	AbstractHDBSCAN.computeCoreDists(DBIDs ids, KNNSearcher<DBIDRef> knnQ, int minPts)	Compute the core distances for all objects.
private static double	HACAM.Instance.distanceSum(DistanceQuery<?> dq, DBIDIter i, DBIDs cy, double distsum, double minDistSum)	Find the maximum distance of one object to a set.
private static double	MiniMax.Instance.findMax(DistanceQuery<?> dq, DBIDIter i, DBIDs cy, double maxDist, double minMaxDist)	Find the maximum distance of one object to a set.
private static double	MedoidLinkage.Instance.findMedoid(DistanceQuery<?> dq, DBIDs c, DBIDArrayMIter prototype)	Find the prototypes.
private static double	HACAM.Instance.findPrototype(DistanceQuery<?> dq, DBIDs cx, DBIDs cy, DBIDVar prototype, double minDistSum)	Find the prototypes.
private static double	MiniMax.Instance.findPrototype(DistanceQuery<?> dq, DBIDs cx, DBIDs cy, DBIDVar prototype, double minMaxDist)	Find the prototypes.
private static double	HACAM.Instance.findPrototypeSingleton(DistanceQuery<?> dq, DBIDs cx, DBIDRef cy, DBIDVar prototype)	Find the prototypes.
private static double	MiniMax.Instance.findPrototypeSingleton(DistanceQuery<?> dq, DBIDs cx, DBIDRef cy, DBIDVar prototype)	Find the prototypes.
private void	SLINKHDBSCANLinearMemory.step2(DBIDRef id, DBIDs processedIDs, DistanceQuery<? super O> distQuery, DoubleDataStore coredists, WritableDoubleDataStore m)	Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
private void	SLINKHDBSCANLinearMemory.step3(DBIDRef id, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, DBIDs processedIDs, WritableDoubleDataStore m)	Third step: Determine the values for P and L
private void	SLINKHDBSCANLinearMemory.step4(DBIDRef id, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, DBIDs processedIDs)	Fourth step: Actualize the clusters if necessary

Uses of DBIDs in elki.clustering.hierarchical.birch

Methods in elki.clustering.hierarchical.birch with parameters of type DBIDs

Modifier and Type	Method	Description
CFTree	CFTree.Factory.newTree(DBIDs ids, Relation<? extends NumberVector> relation)	Make a new tree.

Uses of DBIDs in elki.clustering.hierarchical.extraction

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

Modifier and Type	Method	Description
void	SimplifiedHierarchyExtraction.TempCluster.addDBIDs(DBIDs ids)	Add new objects to the cluster.
protected Cluster<DendrogramModel>	AbstractCutDendrogram.Instance.makeCluster(int seq, DBIDs members)	Make the cluster for the given object
protected Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.makeCluster(int seq, double depth, DBIDs members)	Make the cluster for the given object

Uses of DBIDs in elki.clustering.kmeans

Method parameters in elki.clustering.kmeans with type arguments of type DBIDs

Modifier and Type	Method	Description
private static double[][]	AbstractKMeans.denseMeans(java.util.List<? extends DBIDs> clusters, double[][] means, Relation<? extends NumberVector> relation)	Returns the mean vectors of the given clusters in the given database.
protected static double[][]	AbstractKMeans.means(java.util.List<? extends DBIDs> clusters, double[][] means, Relation<? extends NumberVector> relation)	Returns the mean vectors of the given clusters in the given database.
protected double[][]	KMediansLloyd.Instance.medians(java.util.List<? extends DBIDs> clusters, double[][] medians, Relation<? extends NumberVector> relation)	Returns the median vectors of the given clusters in the given database.
private static double[][]	AbstractKMeans.sparseMeans(java.util.List<? extends DBIDs> clusters, double[][] means, Relation<? extends SparseNumberVector> relation)	Returns the mean vectors of the given clusters in the given database.

Uses of DBIDs in elki.clustering.kmeans.initialization

Fields in elki.clustering.kmeans.initialization declared as DBIDs

Modifier and Type	Field	Description
protected DBIDs	KMeansPlusPlus.Instance.ids	Object IDs

Methods in elki.clustering.kmeans.initialization that return DBIDs

Modifier and Type	Method	Description
DBIDs	FarthestPoints.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	FarthestSumPoints.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	FirstK.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)
DBIDs	KMeansPlusPlus.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	RandomlyChosen.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)
DBIDs	KMeansPlusPlus.MedoidsInstance.run(int k)

Methods in elki.clustering.kmeans.initialization with parameters of type DBIDs

Modifier and Type	Method	Description
DBIDs	FarthestPoints.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	FarthestSumPoints.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	FirstK.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)
DBIDs	KMeansPlusPlus.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	RandomlyChosen.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)

Constructors in elki.clustering.kmeans.initialization with parameters of type DBIDs

Constructor	Description
Instance(DBIDs ids, RandomFactory rnd)	Constructor.
MedoidsInstance(DBIDs ids, DistanceQuery<?> distQ, RandomFactory rnd)

Uses of DBIDs in elki.clustering.kmeans.spherical

Method parameters in elki.clustering.kmeans.spherical with type arguments of type DBIDs

Modifier and Type	Method	Description
protected static double[][]	SphericalKMeans.Instance.means(java.util.List<? extends DBIDs> clusters, double[][] means, Relation<? extends NumberVector> relation)	Returns the mean vectors of the given clusters in the given database.

Uses of DBIDs in elki.clustering.kmedoids

Fields in elki.clustering.kmedoids declared as DBIDs

Modifier and Type	Field	Description
(package private) DBIDs	CLARANS.Assignment.ids	Ids to process.
(package private) DBIDs	PAM.Instance.ids	Ids to process.
(package private) DBIDs	SingleAssignmentKMedoids.Instance.ids	Ids to process.

Methods in elki.clustering.kmedoids that return DBIDs

Modifier and Type	Method	Description
(package private) static DBIDs	CLARA.randomSample(DBIDs ids, int samplesize, java.util.Random rnd, DBIDs previous)	Draw a random sample of the desired size.

Methods in elki.clustering.kmedoids with parameters of type DBIDs

Modifier and Type	Method	Description
protected static double	CLARA.assignRemainingToNearestCluster(ArrayDBIDs means, DBIDs ids, DBIDs rids, WritableIntegerDataStore assignment, DistanceQuery<?> distQ)	Returns a list of clusters.
protected ArrayModifiableDBIDs	PAM.initialMedoids(DistanceQuery<? super O> distQ, DBIDs ids, int k)	Choose the initial medoids.
(package private) static DBIDs	CLARA.randomSample(DBIDs ids, int samplesize, java.util.Random rnd, DBIDs previous)	Draw a random sample of the desired size.
protected static Clustering<MedoidModel>	PAM.wrapResult(DBIDs ids, WritableIntegerDataStore assignment, ArrayModifiableDBIDs medoids, java.lang.String name)	Wrap the clustering result.

Constructors in elki.clustering.kmedoids with parameters of type DBIDs

Constructor	Description
Assignment(DistanceQuery<?> distQ, DBIDs ids, int k)	Constructor.
Assignment(DistanceQuery<?> distQ, DBIDs ids, int k)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment, double fasttol)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.

Uses of DBIDs in elki.clustering.kmedoids.initialization

Methods in elki.clustering.kmedoids.initialization that return DBIDs

Modifier and Type	Method	Description
DBIDs	AlternateRefinement.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	BUILD.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	GreedyG.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	KMedoidsInitialization.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)	Choose initial means
DBIDs	KMedoidsKMedoidsInitialization.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)
DBIDs	LAB.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	ParkJun.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)

Methods in elki.clustering.kmedoids.initialization with parameters of type DBIDs

Modifier and Type	Method	Description
static double	AlternateRefinement.assignToNearestCluster(DBIDArrayIter miter, DBIDs ids, DistanceQuery<?> distQ, WritableIntegerDataStore assignment, double[] cost)	Compute the initial cluster assignment.
DBIDs	AlternateRefinement.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	BUILD.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	GreedyG.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	KMedoidsInitialization.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)	Choose initial means
DBIDs	KMedoidsKMedoidsInitialization.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)
DBIDs	LAB.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
DBIDs	ParkJun.chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distQ)
static boolean	AlternateRefinement.findMedoid(DBIDs ids, DistanceQuery<?> distQ, IntegerDataStore assignment, int j, DBIDArrayMIter miter, double[] cost)	Find the best medoid of a given fixed set.
static double	GreedyG.findMedoid(DBIDs ids, DistanceQuery<?> distQ, int j, DBIDArrayMIter miter, double bestm, WritableDoubleDataStore temp, WritableDoubleDataStore tempbest, WritableDoubleDataStore mindist)	Find the best medoid of a given fixed set.

Uses of DBIDs in elki.clustering.optics

Fields in elki.clustering.optics declared as DBIDs

Modifier and Type	Field	Description
(package private) DBIDs	GeneralizedOPTICS.Instance.ids	IDs to process.
private DBIDs	OPTICSHeap.Instance.ids	IDs to process.
(package private) DBIDs	OPTICSList.Instance.ids	IDs to process.

Fields in elki.clustering.optics with type parameters of type DBIDs

Modifier and Type	Field	Description
(package private) DataStore<? extends DBIDs>	FastOPTICS.neighs	neighbors of a point

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

Modifier and Type	Method	Description
ArrayModifiableDBIDs	ClusterOrder.order(DBIDs ids)	Use the cluster order to sort the given collection ids.

Constructors in elki.clustering.optics with parameters of type DBIDs

Constructor	Description
ClusterHierarchyBuilder(DBIDs ids)	Constructor.
ClusterOrder(DBIDs ids)	Constructor
Instance(DBIDs ids)	Constructor for a single data set.

Uses of DBIDs in elki.clustering.silhouette

Fields in elki.clustering.silhouette declared as DBIDs

Modifier and Type	Field	Description
protected DBIDs	FastMSC.Instance.ids	Ids to process.
protected DBIDs	FastMSC.Instance2.ids	Ids to process.
(package private) DBIDs	PAMSIL.Instance.ids	Ids to process.

Constructors in elki.clustering.silhouette with parameters of type DBIDs

Constructor	Description
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance2(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.
Instance2(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment)	Constructor.

Uses of DBIDs in elki.clustering.subspace

Fields in elki.clustering.subspace declared as DBIDs

Modifier and Type	Field	Description
(package private) DBIDs	P3C.Signature.ids	Object ids.

Methods in elki.clustering.subspace that return DBIDs

Modifier and Type	Method	Description
private DBIDs	PROCLUS.computeBadMedoids(ArrayDBIDs m_current, java.util.ArrayList<PROCLUS.PROCLUSCluster> clusters, int threshold)	Computes the bad medoids, where the medoid of a cluster with less than the specified threshold of objects is bad.
protected DBIDs	DOC.findNeighbors(DBIDRef q, long[] nD, ArrayModifiableDBIDs S, Relation<? extends NumberVector> relation)	Find the neighbors of point q in the given subspace

Methods in elki.clustering.subspace that return types with arguments of type DBIDs

Modifier and Type	Method	Description
private DataStore<DBIDs>	PROCLUS.getLocalities(DBIDs medoids, DistanceQuery<? extends NumberVector> distance, RangeSearcher<DBIDRef> rangeQuery)	Computes the localities of the specified medoids: for each medoid m the objects in the sphere centered at m with radius minDist are determined, where minDist is the minimum distance between medoid m and any other medoid m_i.

Methods in elki.clustering.subspace with parameters of type DBIDs

Modifier and Type	Method	Description
private double	PROCLUS.avgDistance(double[] centroid, DBIDs objectIDs, Relation<? extends NumberVector> database, int dimension)	Computes the average distance of the objects to the centroid along the specified dimension.
private ArrayDBIDs	PROCLUS.computeM_current(DBIDs m, DBIDs m_best, DBIDs m_bad, java.util.Random random)	Computes the set of medoids in current iteration.
private long[]	HiSC.Instance.determinePreferenceVector(DBIDRef id, DBIDs neighborIDs)	Determines the preference vector according to the specified neighbor ids.
protected boolean	DOC.dimensionIsRelevant(int dimension, Relation<? extends NumberVector> relation, DBIDs points)	Utility method to test if a given dimension is relevant as determined via a set of reference points (i.e. if the variance along the attribute is lower than the threshold).
private DataStore<DBIDs>	PROCLUS.getLocalities(DBIDs medoids, DistanceQuery<? extends NumberVector> distance, RangeSearcher<DBIDRef> rangeQuery)	Computes the localities of the specified medoids: for each medoid m the objects in the sphere centered at m with radius minDist are determined, where minDist is the minimum distance between medoid m and any other medoid m_i.
private ArrayDBIDs	PROCLUS.greedy(DistanceQuery<? extends NumberVector> distance, DBIDs sampleSet, int m, java.util.Random random)	Returns a piercing set of k medoids from the specified sample set.
private java.util.ArrayList<P3C.ClusterCandidate>	P3C.hardClustering(WritableDataStore<double[]> probClusterIGivenX, java.util.List<P3C.Signature> clusterCores, DBIDs dbids)	Creates a hard clustering from the specified soft membership matrix.
private ArrayDBIDs	PROCLUS.initialSet(DBIDs sampleSet, int k, java.util.Random random)	Returns a set of k elements from the specified sample set.
protected Cluster<SubspaceModel>	DOC.makeCluster(Relation<? extends NumberVector> relation, DBIDs C, long[] D)	Utility method to create a subspace cluster from a list of DBIDs and the relevant attributes.
private java.util.List<Cluster<Model>>	SUBCLU.runDBSCAN(Relation<V> relation, DBIDs ids, Subspace subspace)	Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.
protected HashSetModifiableDBIDs	P3C.unionDBIDs(DBIDs[] parts, int start, int end)	Compute the union of multiple DBID sets.

Constructors in elki.clustering.subspace with parameters of type DBIDs

Constructor	Description
Signature(int[] spec, DBIDs ids)	Constructor.

Uses of DBIDs in elki.clustering.subspace.clique

Methods in elki.clustering.subspace.clique that return DBIDs

Modifier and Type	Method	Description
DBIDs	CLIQUEUnit.getIds()	Returns the ids of the feature vectors this unit contains.

Uses of DBIDs in elki.clustering.trivial

Methods in elki.clustering.trivial that return types with arguments of type DBIDs

Modifier and Type	Method	Description
private java.util.HashMap<java.lang.String,DBIDs>	ByLabelClustering.multipleAssignment(Relation<?> data)	Assigns the objects of the database to multiple clusters according to their labels.
private java.util.HashMap<java.lang.String,DBIDs>	ByLabelClustering.singleAssignment(Relation<?> data)	Assigns the objects of the database to single clusters according to their labels.

Method parameters in elki.clustering.trivial with type arguments of type DBIDs

Modifier and Type	Method	Description
private void	ByLabelClustering.assign(java.util.HashMap<java.lang.String,DBIDs> labelMap, java.lang.String label, DBIDRef id)	Assigns the specified id to the labelMap according to its label
private void	ByLabelHierarchicalClustering.assign(java.util.HashMap<java.lang.String,DBIDs> labelMap, java.lang.String label, DBIDRef id)	Assigns the specified id to the labelMap according to its label

Uses of DBIDs in elki.clustering.uncertain

Methods in elki.clustering.uncertain that return DBIDs

Modifier and Type	Method	Description
DBIDs	FDBSCANNeighborPredicate.Instance.getIDs()
DBIDs	FDBSCANNeighborPredicate.Instance.getNeighbors(DBIDRef reference)

Methods in elki.clustering.uncertain that return types with arguments of type DBIDs

Modifier and Type	Method	Description
SimpleTypeInformation<DBIDs>	FDBSCANNeighborPredicate.getOutputType()

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

Modifier and Type	Method	Description
DBIDIter	FDBSCANNeighborPredicate.Instance.iterDBIDs(DBIDs neighbors)
protected C	CenterOfMassMetaClustering.runClusteringAlgorithm(java.lang.Object parent, DBIDs ids, DataStore<DoubleVector> store, int dim, java.lang.String title)	Run a clustering algorithm on a single instance.
protected Clustering<?>	RepresentativeUncertainClustering.runClusteringAlgorithm(java.lang.Object parent, DBIDs ids, DataStore<DoubleVector> store, int dim, java.lang.String title)	Run a clustering algorithm on a single instance.

Uses of DBIDs in elki.data

Fields in elki.data declared as DBIDs

Modifier and Type	Field	Description
private DBIDs	Cluster.ids	Cluster data.

Methods in elki.data that return DBIDs

Modifier and Type	Method	Description
DBIDs	Cluster.getIDs()	Access group object

Methods in elki.data with parameters of type DBIDs

Modifier and Type	Method	Description
void	Cluster.setIDs(DBIDs g)	Access group object

Constructors in elki.data with parameters of type DBIDs

Constructor	Description
Cluster(DBIDs ids)	Constructor without hierarchy information and name and model
Cluster(DBIDs ids, boolean noise)	Constructor without hierarchy information and name and model
Cluster(DBIDs ids, boolean noise, M model)	Constructor without hierarchy information and name
Cluster(DBIDs ids, M model)	Constructor without hierarchy information and name
Cluster(java.lang.String name, DBIDs ids)	Constructor without hierarchy information and model
Cluster(java.lang.String name, DBIDs ids, boolean noise)	Constructor without hierarchy information and model
Cluster(java.lang.String name, DBIDs ids, boolean noise, M model)	Full constructor
Cluster(java.lang.String name, DBIDs ids, M model)	Constructor without hierarchy information.

Uses of DBIDs in elki.data.model

Fields in elki.data.model declared as DBIDs

Modifier and Type	Field	Description
(package private) DBIDs	CoreObjectsModel.core	Objects that are part of the cluster core.
private DBIDs	BiclusterWithInversionsModel.invertedRows	The ids of inverted rows.

Methods in elki.data.model that return DBIDs

Modifier and Type	Method	Description
DBIDs	CoreObjectsModel.getCoreObjects()	Get the core object IDs.
DBIDs	BiclusterWithInversionsModel.getInvertedRows()	Provides a copy of the inverted column IDs.

Methods in elki.data.model with parameters of type DBIDs

Modifier and Type	Method	Description
static NumberVector	ModelUtil.getPrototypeOrCentroid(Model model, Relation<? extends NumberVector> relation, DBIDs ids)	Get the representative vector for a cluster model, or compute the centroid.
static <V extends NumberVector> V	ModelUtil.getPrototypeOrCentroid(Model model, Relation<? extends V> relation, DBIDs ids, NumberVector.Factory<V> factory)	Get the representative vector for a cluster model, or compute the centroid.
void	BiclusterWithInversionsModel.setInvertedRows(DBIDs invertedRows)	Sets the ids of the inverted rows.

Constructors in elki.data.model with parameters of type DBIDs

Constructor	Description
BiclusterWithInversionsModel(int[] colIDs, DBIDs invertedRows)
CoreObjectsModel(DBIDs core)	Constructor.

Uses of DBIDs in elki.data.type

Fields in elki.data.type with type parameters of type DBIDs

Modifier and Type	Field	Description
static SimpleTypeInformation<DBIDs>	TypeUtil.DBIDS	Database ID lists (but not single DBIDs).

Uses of DBIDs in elki.database

Methods in elki.database that return DBIDs

Modifier and Type	Method	Description
DBIDs	HashmapDatabase.insert(ObjectBundle objpackages)
DBIDs	UpdatableDatabase.insert(ObjectBundle objpackages)	Inserts the given object(s) and their associations into the database.

Methods in elki.database with parameters of type DBIDs

Modifier and Type	Method	Description
MultipleObjectsBundle	HashmapDatabase.delete(DBIDs ids)	Removes the objects from the database (by calling HashmapDatabase.doDelete(DBIDRef) for each object) and indexes and fires a deletion event.
ObjectBundle	UpdatableDatabase.delete(DBIDs ids)	Removes and returns the specified objects with the given ids from the database.
private void	DatabaseEventManager.fireObjectsChanged(DBIDs objects, DatabaseEventManager.Type type)	Handles a DataStoreEvent with the specified type.
void	DatabaseEventManager.fireObjectsInserted(DBIDs insertions)	Event when new objects are inserted.
protected void	DatabaseEventManager.fireObjectsRemoved(DBIDs deletions)	Event when objects were removed / deleted.
void	DatabaseEventManager.fireObjectsUpdated(DBIDs updates)	Event when objects have changed / were updated.
void	ProxyDatabase.setDBIDs(DBIDs ids)	Set the DBIDs to use.

Constructors in elki.database with parameters of type DBIDs

Constructor	Description
ProxyDatabase(DBIDs ids)	Constructor.
ProxyDatabase(DBIDs ids, Database database)	Constructor, proxying all relations of an existing database.
ProxyDatabase(DBIDs ids, Relation<?>... relations)	Constructor.
ProxyDatabase(DBIDs ids, java.lang.Iterable<Relation<?>> relations)	Constructor.

Uses of DBIDs in elki.database.datastore

Fields in elki.database.datastore declared as DBIDs

Modifier and Type	Field	Description
private DBIDs	DataStoreEvent.inserts	Insertions.
private DBIDs	DataStoreEvent.removals	Removals.
private DBIDs	DataStoreEvent.updates	Updates.

Methods in elki.database.datastore that return DBIDs

Modifier and Type	Method	Description
DBIDs	DataStoreEvent.getInserts()	Get the inserted objects.
DBIDs	DataStoreEvent.getRemovals()	Get the removed objects.
DBIDs	DataStoreEvent.getUpdates()	Get the updates objects.

Methods in elki.database.datastore with parameters of type DBIDs

Modifier and Type	Method	Description
static DataStoreEvent	DataStoreEvent.insertionEvent(DBIDs inserts)	Insertion event.
WritableDBIDDataStore	DataStoreFactory.makeDBIDStorage(DBIDs ids, int hints)	Make a new storage, to associate the given ids with an object of class dataclass.
static WritableDBIDDataStore	DataStoreUtil.makeDBIDStorage(DBIDs ids, int hints)	Make a new storage, to associate the given ids with an object of class dataclass.
WritableDoubleDataStore	DataStoreFactory.makeDoubleStorage(DBIDs ids, int hints)	Make a new storage, to associate the given ids with an object of class dataclass.
WritableDoubleDataStore	DataStoreFactory.makeDoubleStorage(DBIDs ids, int hints, double def)	Make a new storage, to associate the given ids with an object of class dataclass.
static WritableDoubleDataStore	DataStoreUtil.makeDoubleStorage(DBIDs ids, int hints)	Make a new storage, to associate the given ids with an object of class dataclass.
static WritableDoubleDataStore	DataStoreUtil.makeDoubleStorage(DBIDs ids, int hints, double def)	Make a new storage, to associate the given ids with an object of class dataclass.
WritableIntegerDataStore	DataStoreFactory.makeIntegerStorage(DBIDs ids, int hints)	Make a new storage, to associate the given ids with an object of class dataclass.
WritableIntegerDataStore	DataStoreFactory.makeIntegerStorage(DBIDs ids, int hints, int def)	Make a new storage, to associate the given ids with an object of class dataclass.
static WritableIntegerDataStore	DataStoreUtil.makeIntegerStorage(DBIDs ids, int hints)	Make a new storage, to associate the given ids with an object of class dataclass.
static WritableIntegerDataStore	DataStoreUtil.makeIntegerStorage(DBIDs ids, int hints, int def)	Make a new storage, to associate the given ids with an object of class dataclass.
WritableRecordStore	DataStoreFactory.makeRecordStorage(DBIDs ids, int hints, java.lang.Class<?>... dataclasses)	Make a new record storage, to associate the given ids with an object of class dataclass.
static WritableRecordStore	DataStoreUtil.makeRecordStorage(DBIDs ids, int hints, java.lang.Class<?>... dataclasses)	Make a new record storage, to associate the given ids with an object of class dataclass.
<T> WritableDataStore<T>	DataStoreFactory.makeStorage(DBIDs ids, int hints, java.lang.Class<? super T> dataclass)	Make a new storage, to associate the given ids with an object of class dataclass.
static <T> WritableDataStore<T>	DataStoreUtil.makeStorage(DBIDs ids, int hints, java.lang.Class<? super T> dataclass)	Make a new storage, to associate the given ids with an object of class dataclass.
static DataStoreEvent	DataStoreEvent.removalEvent(DBIDs removals)	Removal event.
static DataStoreEvent	DataStoreEvent.updateEvent(DBIDs updates)	Update event.

Constructors in elki.database.datastore with parameters of type DBIDs

Constructor	Description
DataStoreEvent(DBIDs inserts, DBIDs removals, DBIDs updates)	Constructor.

Uses of DBIDs in elki.database.datastore.memory

Methods in elki.database.datastore.memory with parameters of type DBIDs

Modifier and Type	Method	Description
WritableDBIDDataStore	MemoryDataStoreFactory.makeDBIDStorage(DBIDs ids, int hints)
WritableDoubleDataStore	MemoryDataStoreFactory.makeDoubleStorage(DBIDs ids, int hints)
WritableDoubleDataStore	MemoryDataStoreFactory.makeDoubleStorage(DBIDs ids, int hints, double def)
WritableIntegerDataStore	MemoryDataStoreFactory.makeIntegerStorage(DBIDs ids, int hints)
WritableIntegerDataStore	MemoryDataStoreFactory.makeIntegerStorage(DBIDs ids, int hints, int def)
WritableRecordStore	MemoryDataStoreFactory.makeRecordStorage(DBIDs ids, int hints, java.lang.Class<?>... dataclasses)
<T> WritableDataStore<T>	MemoryDataStoreFactory.makeStorage(DBIDs ids, int hints, java.lang.Class<? super T> dataclass)

Uses of DBIDs in elki.database.ids

Subinterfaces of DBIDs in elki.database.ids

Modifier and Type	Interface	Description
interface	ArrayDBIDs	Interface for array based DBIDs.
interface	ArrayModifiableDBIDs	Array-oriented implementation of a modifiable DBID collection.
interface	ArrayStaticDBIDs	Unmodifiable, indexed DBIDs.
interface	DBID	Database ID object.
interface	DBIDPair	Immutable pair of two DBIDs, more memory efficient than two DBIDs.
interface	DBIDRange	Static DBID range.
interface	DBIDVar	(Persistent) variable storing a DBID reference.
interface	DoubleDBIDList	Collection of double values associated with objects.
interface	HashSetDBIDs	Hash-organized DBIDs
interface	HashSetModifiableDBIDs	Set-oriented implementation of a modifiable DBID collection.
interface	KNNList	Interface for kNN results.
interface	ModifiableDBIDs	Interface for a generic modifiable DBID collection.
interface	ModifiableDoubleDBIDList	Modifiable API for Distance-DBID results
interface	SetDBIDs	Interface for DBIDs that support fast "set" operations, in particular "contains" lookups.
interface	StaticDBIDs	Unmodifiable DBIDs.

Classes in elki.database.ids that implement DBIDs

Modifier and Type	Class	Description
class	EmptyDBIDs	Empty DBID collection.

Methods in elki.database.ids that return DBIDs

Modifier and Type	Method	Description
static DBIDs	DBIDUtil.randomSample(DBIDs ids, double rate, RandomFactory random)	Produce a random sample of the given DBIDs.
static DBIDs	DBIDUtil.randomSample(DBIDs ids, double rate, java.util.Random random)	Produce a random sample of the given DBIDs.

Methods in elki.database.ids with parameters of type DBIDs

Modifier and Type	Method	Description
boolean	ModifiableDBIDs.addDBIDs(DBIDs ids)	Add DBIDs to collection.
static DBIDRange	DBIDUtil.assertRange(DBIDs ids)	Assert that the presented ids constitute a continuous DBIDRange.
static ModifiableDBIDs	DBIDUtil.difference(DBIDs ids1, DBIDs ids2)	Returns the difference of the two specified collection of IDs.
static ArrayDBIDs	DBIDUtil.ensureArray(DBIDs ids)	Ensure that the given DBIDs are array-indexable.
static ModifiableDBIDs	DBIDUtil.ensureModifiable(DBIDs ids)	Ensure modifiable.
static SetDBIDs	DBIDUtil.ensureSet(DBIDs ids)	Ensure that the given DBIDs support fast "contains" operations.
private static ModifiableDBIDs	DBIDUtil.internalIntersection(DBIDs first, DBIDs second)	Compute the set intersection of two sets.
private static int	DBIDUtil.internalIntersectionSize(DBIDs first, DBIDs second)	Compute the set intersection size of two sets.
static ModifiableDBIDs	DBIDUtil.intersection(DBIDs first, DBIDs second)	Compute the set intersection of two sets.
static int	DBIDUtil.intersectionSize(DBIDs first, DBIDs second)	Compute the set intersection size of two sets.
StaticDBIDs	DBIDFactory.makeUnmodifiable(DBIDs existing)	Make DBIDs immutable.
static StaticDBIDs	DBIDUtil.makeUnmodifiable(DBIDs existing)	Wrap an existing DBIDs collection to be unmodifiable.
ArrayModifiableDBIDs	DBIDFactory.newArray(DBIDs existing)	Make a new (modifiable) array of DBIDs.
static ArrayModifiableDBIDs	DBIDUtil.newArray(DBIDs existing)	Make a new (modifiable) array of DBIDs.
HashSetModifiableDBIDs	DBIDFactory.newHashSet(DBIDs existing)	Make a new (modifiable) hash set of DBIDs.
static HashSetModifiableDBIDs	DBIDUtil.newHashSet(DBIDs existing)	Make a new (modifiable) hash set of DBIDs.
static DBIDs	DBIDUtil.randomSample(DBIDs ids, double rate, RandomFactory random)	Produce a random sample of the given DBIDs.
static DBIDs	DBIDUtil.randomSample(DBIDs ids, double rate, java.util.Random random)	Produce a random sample of the given DBIDs.
static ModifiableDBIDs	DBIDUtil.randomSample(DBIDs source, int k, int seed)	Produce a random sample of the given DBIDs.
static ModifiableDBIDs	DBIDUtil.randomSample(DBIDs source, int k, RandomFactory rnd)	Produce a random sample of the given DBIDs.
static ModifiableDBIDs	DBIDUtil.randomSample(DBIDs source, int k, java.lang.Long seed)	Produce a random sample of the given DBIDs.
static ModifiableDBIDs	DBIDUtil.randomSample(DBIDs source, int k, java.util.Random random)	Produce a random sample of the given DBIDs.
static DBIDVar	DBIDUtil.randomSample(DBIDs ids, RandomFactory random)	Draw a single random sample.
static DBIDVar	DBIDUtil.randomSample(DBIDs ids, java.util.Random random)	Draw a single random sample.
static ModifiableDBIDs	DBIDUtil.randomSampleExcept(DBIDs source, DBIDRef except, int k, RandomFactory rnd)	Produce a random sample of the given DBIDs.
static ModifiableDBIDs	DBIDUtil.randomSampleExcept(DBIDs source, DBIDRef except, int k, java.util.Random random)	Produce a random sample of the given DBIDs.
static ArrayDBIDs[]	DBIDUtil.randomSplit(DBIDs ids, int p, RandomFactory rnd)	Randomly split IDs into p partitions of almost-equal size.
static ArrayDBIDs[]	DBIDUtil.randomSplit(DBIDs oids, int p, java.util.Random random)	Randomly split IDs into p partitions of almost-equal size.
boolean	ModifiableDBIDs.removeDBIDs(DBIDs ids)	Remove DBIDs from collection.
boolean	HashSetModifiableDBIDs.retainAll(DBIDs set)	Retain all elements that also are in the second set.
static void	DBIDUtil.symmetricIntersection(DBIDs first, DBIDs second, HashSetModifiableDBIDs firstonly, HashSetModifiableDBIDs intersection, HashSetModifiableDBIDs secondonly)	Compute the set symmetric intersection of two sets.
static java.lang.String	DBIDUtil.toString(DBIDs ids)	Format a DBID as string.
static ModifiableDBIDs	DBIDUtil.union(DBIDs ids1, DBIDs ids2)	Returns the union of the two specified collection of IDs.

Uses of DBIDs in elki.database.ids.integer

Subinterfaces of DBIDs in elki.database.ids.integer

Modifier and Type	Interface	Description
(package private) interface	DoubleIntegerDBIDList	Interface to store double distance, integer DBID results.
interface	IntegerArrayDBIDs	Trivial combination interface.
(package private) interface	IntegerArrayStaticDBIDs	Combination of ArrayStaticDBIDs and IntegerDBIDs.
interface	IntegerDBIDs	Integer DBID collection.

Classes in elki.database.ids.integer that implement DBIDs

Modifier and Type	Class	Description
(package private) class	ArrayModifiableIntegerDBIDs	Class using a primitive int[] array as storage.
private class	ArrayModifiableIntegerDBIDs.Slice	Slice of an array.
(package private) class	ArrayStaticIntegerDBIDs	Static (no modifications allowed) set of Database Object IDs.
private class	ArrayStaticIntegerDBIDs.Slice	Slice of an array.
(package private) class	DoubleIntegerDBIDArrayList	Class to store double distance, integer DBID results.
(package private) class	DoubleIntegerDBIDKNNList	kNN list, but without automatic sorting.
class	DoubleIntegerDBIDSubList	Sublist of an existing result to contain only some of the elements.
(package private) class	FastutilIntOpenHashSetModifiableDBIDs	Implementation using Fastutil IntSet.
(package private) class	IntegerDBID	Database ID object.
class	IntegerDBIDKNNSubList	Sublist of an existing result to contain only the first k elements.
(package private) class	IntegerDBIDPair	DBID pair using two ints for storage.
private class	IntegerDBIDPair.Slice	Slice of an array.
(package private) class	IntegerDBIDRange	Representing a DBID range allocation.
(package private) class	IntegerDBIDVar	Variable for storing a single DBID reference.
class	UnmodifiableIntegerArrayDBIDs	Unmodifiable wrapper for DBIDs.
class	UnmodifiableIntegerDBIDs	Unmodifiable wrapper for DBIDs.

Methods in elki.database.ids.integer with parameters of type DBIDs

Modifier and Type	Method	Description
boolean	ArrayModifiableIntegerDBIDs.addDBIDs(DBIDs ids)
boolean	FastutilIntOpenHashSetModifiableDBIDs.addDBIDs(DBIDs ids)
StaticDBIDs	AbstractIntegerDBIDFactory.makeUnmodifiable(DBIDs existing)
ArrayModifiableDBIDs	AbstractIntegerDBIDFactory.newArray(DBIDs existing)
HashSetModifiableDBIDs	AbstractIntegerDBIDFactory.newHashSet(DBIDs existing)
boolean	ArrayModifiableIntegerDBIDs.removeDBIDs(DBIDs ids)
boolean	FastutilIntOpenHashSetModifiableDBIDs.removeDBIDs(DBIDs ids)
boolean	FastutilIntOpenHashSetModifiableDBIDs.retainAll(DBIDs set)

Constructors in elki.database.ids.integer with parameters of type DBIDs

Constructor	Description
ArrayModifiableIntegerDBIDs(DBIDs existing)	Constructor.
FastutilIntOpenHashSetModifiableDBIDs(DBIDs existing)	Constructor.

Uses of DBIDs in elki.database.relation

Fields in elki.database.relation declared as DBIDs

Modifier and Type	Field	Description
private DBIDs	DBIDView.ids	The ids object
private DBIDs	ProxyView.idview	The DBIDs we contain

Methods in elki.database.relation that return DBIDs

Modifier and Type	Method	Description
DBIDs	ConvertToStringView.getDBIDs()
DBIDs	DBIDView.getDBIDs()
DBIDs	ProjectedView.getDBIDs()
DBIDs	ProxyView.getDBIDs()
DBIDs	Relation.getDBIDs()	Get the IDs the query is defined for.

Methods in elki.database.relation with parameters of type DBIDs

Modifier and Type	Method	Description
void	DBIDView.setDBIDs(DBIDs ids)	Set the DBIDs of the view.
void	ProxyView.setDBIDs(DBIDs ids)	Set the DBIDs to use.

Constructors in elki.database.relation with parameters of type DBIDs

Constructor	Description
DBIDView(DBIDs ids)	Constructor.
MaterializedDoubleRelation(java.lang.String name, DBIDs ids)	Constructor.
MaterializedDoubleRelation(java.lang.String name, DBIDs ids, DoubleDataStore content)	Constructor.
MaterializedRelation(SimpleTypeInformation<O> type, DBIDs ids)	Constructor.
MaterializedRelation(java.lang.String name, SimpleTypeInformation<O> type, DBIDs ids)	Constructor.
MaterializedRelation(java.lang.String name, SimpleTypeInformation<O> type, DBIDs ids, DataStore<O> content)	Constructor.
ProxyView(DBIDs idview, Relation<O> inner)	Constructor.

Uses of DBIDs in elki.distance

Methods in elki.distance with parameters of type DBIDs

Modifier and Type	Method	Description
protected static double	SharedNearestNeighborJaccardDistance.Instance.jaccardCoefficient(DBIDs neighbors1, DBIDs neighbors2)	Compute the Jaccard coefficient

Uses of DBIDs in elki.evaluation.clustering.pairsegments

Fields in elki.evaluation.clustering.pairsegments declared as DBIDs

Modifier and Type	Field	Description
protected DBIDs	Segment.objIDs	IDs in segment, for object segments.

Methods in elki.evaluation.clustering.pairsegments that return DBIDs

Modifier and Type	Method	Description
DBIDs	Segment.getDBIDs()	Get the DBIDs of objects contained in this segment.

Methods in elki.evaluation.clustering.pairsegments with parameters of type DBIDs

Modifier and Type	Method	Description
private void	Segments.makeOrUpdateSegment(int[] path, DBIDs ids, int pairsize)

Uses of DBIDs in elki.evaluation.outlier

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

Modifier and Type	Method	Description
private XYCurve	OutlierPrecisionAtKCurve.computePrecisionResult(int size, SetDBIDs positiveids, DBIDs order)
protected JudgeOutlierScores.ScoreResult	JudgeOutlierScores.computeScore(DBIDs ids, DBIDs outlierIds, OutlierResult or)	Evaluate a single outlier score result.

Uses of DBIDs in elki.evaluation.scores

Methods in elki.evaluation.scores with parameters of type DBIDs

Modifier and Type	Method	Description
default double	ScoreEvaluation.evaluate(DBIDs ids, DoubleDBIDList nei)	Evaluate given a list of positives and a scoring.

Uses of DBIDs in elki.evaluation.scores.adapter

Fields in elki.evaluation.scores.adapter declared as DBIDs

Modifier and Type	Field	Description
private DBIDs	DistanceResultAdapter.set	Set of positive examples.
private DBIDs	OutlierScoreAdapter.set	Set of positive objects
private DBIDs	SimpleAdapter.set	Set of positive examples.

Constructors in elki.evaluation.scores.adapter with parameters of type DBIDs

Constructor	Description
DistanceResultAdapter(DBIDs set, DoubleDBIDListIter iter, int size)	Constructor
FilteredDistanceResultAdapter(DBIDs set, DoubleDBIDListIter iter, int size, DBIDRef skip)	Constructor.
OutlierScoreAdapter(DBIDs positive, OutlierResult o)	Constructor.
SimpleAdapter(DBIDs set, DBIDIter iter, int size)	Constructor

Uses of DBIDs in elki.index

Methods in elki.index with parameters of type DBIDs

Modifier and Type	Method	Description
void	DynamicIndex.deleteAll(DBIDs ids)	Deletes the specified objects from this index.
void	DynamicIndex.insertAll(DBIDs ids)	Inserts the specified objects into this index.

Uses of DBIDs in elki.index.lsh

Fields in elki.index.lsh with type parameters of type DBIDs

Modifier and Type	Field	Description
(package private) java.util.ArrayList<it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<DBIDs>>	InMemoryLSHIndex.Instance.hashtables	The actual table

Methods in elki.index.lsh that return DBIDs

Modifier and Type	Method	Description
protected DBIDs	InMemoryLSHIndex.Instance.getCandidates(V obj)	Get the candidates: points which have at least one hash bucket in common.

Uses of DBIDs in elki.index.preprocessed.fastoptics

Methods in elki.index.preprocessed.fastoptics that return types with arguments of type DBIDs

Modifier and Type	Method	Description
DataStore<DBIDs>	RandomProjectedNeighborsAndDensities.getNeighs()	Compute list of neighbors for each point from sets resulting from projection

Methods in elki.index.preprocessed.fastoptics with parameters of type DBIDs

Modifier and Type	Method	Description
void	RandomProjectedNeighborsAndDensities.computeSetsBounds(Relation<? extends NumberVector> points, int minSplitSize, DBIDs ptList)	Create random projections, project points and put points into sets of size about minSplitSize/2

Uses of DBIDs in elki.index.preprocessed.knn

Fields in elki.index.preprocessed.knn declared as DBIDs

Modifier and Type	Field	Description
private DBIDs	KNNChangeEvent.objects	The ids of the kNNs that were inserted or deleted due to the insertion or removals of objects.
private DBIDs	KNNChangeEvent.updates	The ids of the kNNs that were updated due to the insertion or removals of objects.

Methods in elki.index.preprocessed.knn that return DBIDs

Modifier and Type	Method	Description
DBIDs	KNNChangeEvent.getObjects()	Returns the ids of the removed or inserted kNNs (according to the type of this event).
DBIDs	KNNChangeEvent.getUpdates()	Returns the ids of kNNs which have been changed due to the removals or insertions.
private DBIDs	MaterializeKNNAndRKNNPreprocessor.updateKNNsAndRkNNs(DBIDs ids)	Updates the kNNs and RkNNs after insertion of the specified ids.

Methods in elki.index.preprocessed.knn with parameters of type DBIDs

Modifier and Type	Method	Description
private void	NNDescent.clearAll(DBIDs ids, WritableDataStore<HashSetModifiableDBIDs> sets)	Clear (but reuse) all sets in the given storage.
void	MaterializeKNNPreprocessor.deleteAll(DBIDs ids)
protected void	MaterializeKNNPreprocessor.fireKNNsInserted(DBIDs insertions, DBIDs updates)	Informs all registered KNNListener that new kNNs have been inserted and as a result some kNNs have been changed.
protected void	MaterializeKNNPreprocessor.fireKNNsRemoved(DBIDs removals, DBIDs updates)	Informs all registered KNNListener that existing kNNs have been removed and as a result some kNNs have been changed.
void	MaterializeKNNPreprocessor.insertAll(DBIDs ids)
protected void	MaterializeKNNAndRKNNPreprocessor.objectsInserted(DBIDs ids)
protected void	MaterializeKNNPreprocessor.objectsInserted(DBIDs ids)	Called after new objects have been inserted, updates the materialized neighborhood.
protected void	MaterializeKNNAndRKNNPreprocessor.objectsRemoved(DBIDs ids)
protected void	MaterializeKNNPreprocessor.objectsRemoved(DBIDs ids)	Called after objects have been removed, updates the materialized neighborhood.
private int	NNDescent.sampleNew(DBIDs ids, WritableDataStore<HashSetModifiableDBIDs> sampleNewNeighbors, WritableDataStore<HashSetModifiableDBIDs> newNeighborHash, int items)	samples newNeighbors for every object
private ArrayDBIDs	MaterializeKNNPreprocessor.updateKNNsAfterDeletion(DBIDs ids)	Updates the kNNs of the RkNNs of the specified ids.
private ArrayDBIDs	MaterializeKNNPreprocessor.updateKNNsAfterInsertion(DBIDs ids)	Updates the kNNs of the RkNNs of the specified ids.
private DBIDs	MaterializeKNNAndRKNNPreprocessor.updateKNNsAndRkNNs(DBIDs ids)	Updates the kNNs and RkNNs after insertion of the specified ids.

Constructors in elki.index.preprocessed.knn with parameters of type DBIDs

Constructor	Description
KNNChangeEvent(java.lang.Object source, KNNChangeEvent.Type type, DBIDs objects, DBIDs updates)	Used to create an event when kNNs of some objects have been changed.

Uses of DBIDs in elki.index.tree.betula

Methods in elki.index.tree.betula that return DBIDs

Modifier and Type	Method	Description
DBIDs	CFTree.getDBIDs(ClusterFeature cf)	Get the DBIDs of a cluster feature (if stored).

Methods in elki.index.tree.betula with parameters of type DBIDs

Modifier and Type	Method	Description
CFTree<L>	CFTree.Factory.newTree(DBIDs ids, Relation<? extends NumberVector> relation, boolean storeIds)	Make a new tree.

Uses of DBIDs in elki.index.tree.metrical.covertree

Methods in elki.index.tree.metrical.covertree with parameters of type DBIDs

Modifier and Type	Method	Description
void	CoverTree.bulkLoad(DBIDs ids)	Bulk-load the index.
void	SimplifiedCoverTree.bulkLoad(DBIDs ids)	Bulk-load the index.

Uses of DBIDs in elki.index.tree.metrical.mtreevariants.mktrees

Methods in elki.index.tree.metrical.mtreevariants.mktrees with parameters of type DBIDs

Modifier and Type	Method	Description
protected java.util.Map<DBID,KNNList>	AbstractMkTree.batchNN(N node, DBIDs ids, int kmax)	Deprecated. Change to use by-object NN lookups instead.

Uses of DBIDs in elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Methods in elki.index.tree.metrical.mtreevariants.mktrees.mkapp with parameters of type DBIDs

Modifier and Type	Method	Description
private double[]	MkAppTree.getMeanKNNList(DBIDs ids, java.util.Map<DBID,KNNList> knnLists)

Uses of DBIDs in elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Methods in elki.index.tree.metrical.mtreevariants.mktrees.mkmax with parameters of type DBIDs

Modifier and Type	Method	Description
void	MkMaxTreeIndex.deleteAll(DBIDs ids)	Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
void	MkMaxTreeIndex.insertAll(DBIDs ids)

Uses of DBIDs in elki.index.tree.metrical.mtreevariants.mtree

Methods in elki.index.tree.metrical.mtreevariants.mtree with parameters of type DBIDs

Modifier and Type	Method	Description
void	MTreeIndex.deleteAll(DBIDs ids)	Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
void	MTreeIndex.insertAll(DBIDs ids)

Uses of DBIDs in elki.index.tree.metrical.vptree

Methods in elki.index.tree.metrical.vptree with parameters of type DBIDs

Modifier and Type	Method	Description
private void	GNAT.buildTree(GNAT.Node current, DBIDs content, int vps)	builds the tree recursively
private double	VPTree.Builder.calcMoment(DBIDRef p, DBIDs check, int size)	Calculate the 2nd moment to the median of the distances to p
private ArrayDBIDs	GNAT.findVantagePoints(DBIDs content, int vps)	Finds a vantage points in the DBIDs between left and right

Uses of DBIDs in elki.index.tree.spatial.kd

Methods in elki.index.tree.spatial.kd that return DBIDs

Modifier and Type	Method	Description
DBIDs	MemoryKDTree.CountingRelation.getDBIDs()

Uses of DBIDs in elki.index.tree.spatial.rstarvariants.deliclu

Methods in elki.index.tree.spatial.rstarvariants.deliclu with parameters of type DBIDs

Modifier and Type	Method	Description
void	DeLiCluTreeIndex.deleteAll(DBIDs ids)
void	DeLiCluTreeIndex.insertAll(DBIDs ids)	Inserts the specified objects into this index.

Uses of DBIDs in elki.index.tree.spatial.rstarvariants.flat

Methods in elki.index.tree.spatial.rstarvariants.flat with parameters of type DBIDs

Modifier and Type	Method	Description
void	FlatRStarTreeIndex.deleteAll(DBIDs ids)
void	FlatRStarTreeIndex.insertAll(DBIDs ids)	Inserts the specified objects into this index.

Uses of DBIDs in elki.index.tree.spatial.rstarvariants.rdknn

Methods in elki.index.tree.spatial.rstarvariants.rdknn with parameters of type DBIDs

Modifier and Type	Method	Description
void	RdKNNTree.deleteAll(DBIDs ids)
void	RdKNNTree.insertAll(DBIDs ids)	Inserts the specified objects into this index.

Uses of DBIDs in elki.index.tree.spatial.rstarvariants.rstar

Methods in elki.index.tree.spatial.rstarvariants.rstar with parameters of type DBIDs

Modifier and Type	Method	Description
void	RStarTreeIndex.deleteAll(DBIDs ids)
void	RStarTreeIndex.insertAll(DBIDs ids)	Inserts the specified objects into this index.

Uses of DBIDs in elki.itemsetmining

Methods in elki.itemsetmining that return DBIDs

Modifier and Type	Method	Description
private DBIDs[]	Eclat.buildIndex(Relation<BitVector> relation, int dim, int minsupp)
private DBIDs	Eclat.mergeJoin(DBIDs first, DBIDs second)

Methods in elki.itemsetmining with parameters of type DBIDs

Modifier and Type	Method	Description
protected java.util.List<SparseItemset>	APRIORI.buildFrequentTwoItemsets(java.util.List<OneItemset> oneitems, Relation<BitVector> relation, int dim, int needed, DBIDs ids, ArrayModifiableDBIDs survivors)	Build the 2-itemsets.
private void	Eclat.extractItemsets(DBIDs[] idx, int start, int minsupp, java.util.List<Itemset> solution)
private void	Eclat.extractItemsets(DBIDs iset, DBIDs[] idx, int[] buf, int depth, int start, int minsupp, java.util.List<Itemset> solution)
protected java.util.List<? extends Itemset>	APRIORI.frequentItemsets(java.util.List<? extends Itemset> candidates, Relation<BitVector> relation, int needed, DBIDs ids, ArrayModifiableDBIDs survivors, int length)	Returns the frequent BitSets out of the given BitSets with respect to the given database.
protected java.util.List<SparseItemset>	APRIORI.frequentItemsetsSparse(java.util.List<SparseItemset> candidates, Relation<BitVector> relation, int needed, DBIDs ids, ArrayModifiableDBIDs survivors, int length)	Returns the frequent BitSets out of the given BitSets with respect to the given database.
private DBIDs	Eclat.mergeJoin(DBIDs first, DBIDs second)

Uses of DBIDs in elki.math.linearalgebra

Methods in elki.math.linearalgebra with parameters of type DBIDs

Modifier and Type	Method	Description
static Centroid	Centroid.make(Relation<? extends NumberVector> relation, DBIDs ids)	Static constructor from an existing relation.
static CovarianceMatrix	CovarianceMatrix.make(Relation<? extends NumberVector> relation, DBIDs ids)	Static Constructor from a full relation.
static ProjectedCentroid	ProjectedCentroid.make(long[] dims, Relation<? extends NumberVector> relation, DBIDs ids)	Static Constructor from a relation.

Uses of DBIDs in elki.math.linearalgebra.pca

Methods in elki.math.linearalgebra.pca with parameters of type DBIDs

Modifier and Type	Method	Description
PCAResult	AutotuningPCA.processIds(DBIDs ids, Relation<? extends NumberVector> database)
double[][]	CovarianceMatrixBuilder.processIds(DBIDs ids, Relation<? extends NumberVector> database)	Compute covariance matrix for a collection of database IDs.
PCAResult	PCARunner.processIds(DBIDs ids, Relation<? extends NumberVector> database)	Run PCA on a collection of database IDs.
double[][]	RANSACCovarianceMatrixBuilder.processIds(DBIDs ids, Relation<? extends NumberVector> relation)
double[][]	StandardCovarianceMatrixBuilder.processIds(DBIDs ids, Relation<? extends NumberVector> database)	Compute Covariance Matrix for a collection of database IDs.
double[][]	WeightedCovarianceMatrixBuilder.processIds(DBIDs ids, Relation<? extends NumberVector> relation)	Weighted Covariance Matrix for a set of IDs.

Uses of DBIDs in elki.math.spacefillingcurves

Constructors in elki.math.spacefillingcurves with parameters of type DBIDs

Constructor	Description
ZCurveTransformer(Relation<? extends NumberVector> relation, DBIDs ids)	Constructor.

Uses of DBIDs in elki.math.statistics.intrinsicdimensionality

Methods in elki.math.statistics.intrinsicdimensionality with parameters of type DBIDs

Modifier and Type	Method	Description
protected double	LPCAEstimator.estimate(DBIDs ids, Relation<? extends NumberVector> relation)	Returns an ID estimate based on the specified filter for the given point DBID set and relation.

Uses of DBIDs in elki.outlier

Methods in elki.outlier with parameters of type DBIDs

Modifier and Type	Method	Description
private void	DWOF.clusterData(DBIDs ids, RangeSearcher<DBIDRef> rnnQuery, WritableDoubleDataStore radii, WritableDataStore<ModifiableDBIDs> labels)	This method applies a density based clustering algorithm.
private static void	COP.computeCentroid(double[] centroid, Relation<? extends NumberVector> relation, DBIDs ids)	Recompute the centroid of a set.
private void	DWOF.initializeRadii(DBIDs ids, KNNSearcher<DBIDRef> knnq, DistanceQuery<O> distFunc, WritableDoubleDataStore radii)	This method prepares a container for the radii of the objects and initializes radii according to the equation: initialRadii of a certain object = (absoluteMinDist of all objects) * (avgDist of the object) / (minAvgDist of all objects)
private double	GaussianUniformMixture.loglikelihoodAnomalous(DBIDs anomalousObjs)	Loglikelihood anomalous objects.
private double	GaussianUniformMixture.loglikelihoodNormal(DBIDs objids, SetDBIDs anomalous, CovarianceMatrix builder, Relation<? extends NumberVector> relation)	Computes the loglikelihood of all normal objects.
private int	DWOF.updateSizes(DBIDs ids, WritableDataStore<ModifiableDBIDs> labels, WritableIntegerDataStore newSizes)	This method updates each object's cluster size after the clustering step.

Uses of DBIDs in elki.outlier.anglebased

Methods in elki.outlier.anglebased with parameters of type DBIDs

Modifier and Type	Method	Description
private void	FastABOD.fastABOD(Relation<V> relation, DBIDs ids, WritableDoubleDataStore abodvalues, DoubleMinMax minmaxabod)	Full kernel-based version.
private boolean	FastABOD.kNNABOD(Relation<V> relation, DBIDs ids, WritableDoubleDataStore abodvalues, DoubleMinMax minmaxabod)	Simpler kNN based, can use more indexing.

Uses of DBIDs in elki.outlier.density

Methods in elki.outlier.density that return DBIDs

Modifier and Type	Method	Description
DBIDs	HySortOD.Hypercube.getInstances()

Uses of DBIDs in elki.outlier.intrinsic

Methods in elki.outlier.intrinsic with parameters of type DBIDs

Modifier and Type	Method	Description
protected DoubleDataStore	IDOS.computeIDOS(DBIDs ids, KNNSearcher<DBIDRef> knnQ, DoubleDataStore intDims, DoubleMinMax idosminmax)	Computes all IDOS scores.
protected DoubleDataStore	IDOS.computeIDs(DBIDs ids, KNNSearcher<DBIDRef> knnQ, DistanceQuery<O> distQ)	Computes all IDs
static DoubleMinMax	ISOS.transformScores(WritableDoubleDataStore scores, DBIDs ids, double logPerp, double phi)	Transform scores

Uses of DBIDs in elki.outlier.lof

Methods in elki.outlier.lof with parameters of type DBIDs

Modifier and Type	Method	Description
protected void	COF.computeAverageChainingDistances(KNNSearcher<DBIDRef> knnq, DistanceQuery<O> dq, DBIDs ids, WritableDoubleDataStore acds)	Computes the average chaining distance, the average length of a path through the given set of points to each target.
private void	COF.computeCOFScores(KNNSearcher<DBIDRef> knnq, DBIDs ids, DoubleDataStore acds, WritableDoubleDataStore cofs, DoubleMinMax cofminmax)	Compute Connectivity outlier factors.
protected void	FlexibleLOF.computeLOFs(KNNSearcher<DBIDRef> knnq, DBIDs ids, DoubleDataStore lrds, WritableDoubleDataStore lofs, DoubleMinMax lofminmax)	Computes the Local outlier factor (LOF) of the specified objects.
private void	LOF.computeLOFScores(KNNSearcher<DBIDRef> knnq, DBIDs ids, DoubleDataStore lrds, WritableDoubleDataStore lofs, DoubleMinMax lofminmax)	Compute local outlier factors.
protected void	FlexibleLOF.computeLRDs(KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDoubleDataStore lrds)	Computes the local reachability density (LRD) of the specified objects.
private void	LOF.computeLRDs(KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDoubleDataStore lrds)	Compute local reachability distances.
protected void	KDEOS.computeOutlierScores(KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDataStore<double[]> densities, WritableDoubleDataStore kdeos, DoubleMinMax minmax)	Compute the final KDEOS scores.
private void	SimplifiedLOF.computeSimplifiedLOFs(DBIDs ids, KNNSearcher<DBIDRef> knnq, WritableDoubleDataStore slrds, WritableDoubleDataStore lofs, DoubleMinMax lofminmax)	Compute the simplified LOF factors.
private void	SimplifiedLOF.computeSimplifiedLRDs(DBIDs ids, KNNSearcher<DBIDRef> knnq, WritableDoubleDataStore lrds)	Compute the simplified reachability densities.
private void	VarianceOfVolume.computeVolumes(KNNSearcher<DBIDRef> knnq, int dim, DBIDs ids, WritableDoubleDataStore vols)	Compute volumes
private void	VarianceOfVolume.computeVOVs(KNNSearcher<DBIDRef> knnq, DBIDs ids, DoubleDataStore vols, WritableDoubleDataStore vovs, DoubleMinMax vovminmax)	Compute variance of volumes.
protected FlexibleLOF.LOFResult<O>	FlexibleLOF.doRunInTime(DBIDs ids, KNNSearcher<DBIDRef> kNNRefer, KNNSearcher<DBIDRef> kNNReach, StepProgress stepprog)	Performs the Generalized LOF_SCORE algorithm on the given database and returns a FlexibleLOF.LOFResult encapsulating information that may be needed by an OnlineLOF algorithm.
protected void	KDEOS.estimateDensities(Relation<O> rel, KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDataStore<double[]> densities)	Perform the kernel density estimation step.
private void	OnlineLOF.LOFKNNListener.kNNsInserted(DBIDs insertions, DBIDs updates1, DBIDs updates2, FlexibleLOF.LOFResult<O> lofResult)	Invoked after kNNs have been inserted and updated, updates the result.
private void	OnlineLOF.LOFKNNListener.kNNsRemoved(DBIDs deletions, DBIDs updates1, DBIDs updates2, FlexibleLOF.LOFResult<O> lofResult)	Invoked after kNNs have been removed and updated, updates the result.
protected void	LOCI.precomputeInterestingRadii(DBIDs ids, RangeSearcher<DBIDRef> rangeQuery, WritableDataStore<LOCI.DoubleIntArrayList> interestingDistances)	Preprocessing step: determine the radii of interest for each point.
private void	OnlineLOF.LOFKNNListener.recomputeLOFs(DBIDs ids, FlexibleLOF.LOFResult<O> lofResult)	Recomputes the lofs of the specified ids.

Uses of DBIDs in elki.outlier.spatial.neighborhood

Fields in elki.outlier.spatial.neighborhood with type parameters of type DBIDs

Modifier and Type	Field	Description
protected DataStore<DBIDs>	AbstractPrecomputedNeighborhood.store	The data

Methods in elki.outlier.spatial.neighborhood that return DBIDs

Modifier and Type	Method	Description
DBIDs	AbstractPrecomputedNeighborhood.getNeighborDBIDs(DBIDRef reference)
DBIDs	NeighborSetPredicate.getNeighborDBIDs(DBIDRef reference)	Get the neighbors of a reference object for DBSCAN.

Methods in elki.outlier.spatial.neighborhood that return types with arguments of type DBIDs

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

Constructor parameters in elki.outlier.spatial.neighborhood with type arguments of type DBIDs

Constructor	Description
AbstractPrecomputedNeighborhood(DataStore<DBIDs> store)	Constructor.
ExtendedNeighborhood(DataStore<DBIDs> store)	Constructor.
ExternalNeighborhood(DataStore<DBIDs> store)	Constructor.
PrecomputedKNearestNeighborNeighborhood(DataStore<DBIDs> store)	Constructor.

Uses of DBIDs in elki.outlier.subspace

Fields in elki.outlier.subspace with type parameters of type DBIDs

Modifier and Type	Field	Description
(package private) java.util.ArrayList<java.util.ArrayList<DBIDs>>	AggarwalYuEvolutionary.EvolutionarySearch.ranges	Database ranges.

Methods in elki.outlier.subspace that return DBIDs

Modifier and Type	Method	Description
protected DBIDs	AbstractAggarwalYuOutlier.computeSubspace(int[] subspace, java.util.ArrayList<java.util.ArrayList<DBIDs>> ranges)	Method to get the ids in the given subspace.
protected DBIDs	AbstractAggarwalYuOutlier.computeSubspaceForGene(short[] gene, java.util.ArrayList<java.util.ArrayList<DBIDs>> ranges)	Get the DBIDs in the current subspace.
private DBIDs	SOD.getNearestNeighbors(Relation<V> relation, SimilarityQuery<V> simQ, DBIDRef queryObject)	Get the k nearest neighbors in terms of the shared nearest neighbor distance.

Methods in elki.outlier.subspace that return types with arguments of type DBIDs

Modifier and Type	Method	Description
protected java.util.ArrayList<java.util.ArrayList<DBIDs>>	AbstractAggarwalYuOutlier.buildRanges(Relation<? extends NumberVector> relation)	Grid discretization of the data: Each attribute of data is divided into phi equi-depth ranges. Each range contains a fraction f=1/phi of the records.

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

Modifier and Type	Method	Description
private static double[]	SOD.computePerDimensionVariances(Relation<? extends NumberVector> relation, double[] center, DBIDs neighborhood)	Compute the per-dimension variances for the given neighborhood and center.
private DoubleDBIDList	OUTRES.initialRange(DBIDRef obj, DBIDs cands, PrimitiveDistance<? super NumberVector> df, double eps, OUTRES.KernelDensityEstimator kernel, ModifiableDoubleDBIDList n)	Initial range query.
double	OUTRES.outresScore(int s, long[] subspace, DBIDRef id, OUTRES.KernelDensityEstimator kernel, DBIDs cands)	Main loop of OUTRES.

Method parameters in elki.outlier.subspace with type arguments of type DBIDs

Modifier and Type	Method	Description
protected DBIDs	AbstractAggarwalYuOutlier.computeSubspace(int[] subspace, java.util.ArrayList<java.util.ArrayList<DBIDs>> ranges)	Method to get the ids in the given subspace.
protected DBIDs	AbstractAggarwalYuOutlier.computeSubspaceForGene(short[] gene, java.util.ArrayList<java.util.ArrayList<DBIDs>> ranges)	Get the DBIDs in the current subspace.

Constructor parameters in elki.outlier.subspace with type arguments of type DBIDs

Constructor	Description
EvolutionarySearch(Relation<? extends NumberVector> relation, java.util.ArrayList<java.util.ArrayList<DBIDs>> ranges, java.util.Random random)	Constructor.

Uses of DBIDs in elki.parallel

Fields in elki.parallel declared as DBIDs

Modifier and Type	Field	Description
private DBIDs	SingleThreadedExecutor.SingleThreadedRunner.ids	Array IDs to process

Methods in elki.parallel with parameters of type DBIDs

Modifier and Type	Method	Description
static void	ParallelExecutor.run(DBIDs ids, Processor... procs)	Run a task on all available CPUs.
static void	SingleThreadedExecutor.run(DBIDs ids, Processor... procs)	Run a task on a single thread.

Constructors in elki.parallel with parameters of type DBIDs

Constructor	Description
SingleThreadedRunner(DBIDs ids, Processor[] procs)	Constructor.

Uses of DBIDs in elki.result

Fields in elki.result declared as DBIDs

Modifier and Type	Field	Description
(package private) DBIDs	SamplingResult.sample	The actual selection
private DBIDs	DBIDSelection.selectedIds	Selected IDs

Methods in elki.result that return DBIDs

Modifier and Type	Method	Description
DBIDs	OrderingResult.getDBIDs()	Get the full set of DBIDs this ordering is defined for.
DBIDs	SamplingResult.getSample()
DBIDs	DBIDSelection.getSelectedIds()	Getter for the selected IDs

Methods in elki.result with parameters of type DBIDs

Modifier and Type	Method	Description
ArrayModifiableDBIDs	OrderingResult.order(DBIDs ids)	Sort the given ids according to this ordering and return an iterator.
void	SamplingResult.setSample(DBIDs sample)	Note: trigger a resultchanged event!

Constructors in elki.result with parameters of type DBIDs

Constructor	Description
DBIDSelection(DBIDs selectedIds)	Constructor with new object IDs.
RangeSelection(DBIDs selectedIds)	Constructor.
RangeSelection(DBIDs selection, ModifiableHyperBoundingBox ranges)	Constructor.

Uses of DBIDs in elki.result.outlier

Methods in elki.result.outlier that return DBIDs

Modifier and Type	Method	Description
DBIDs	OrderingFromRelation.getDBIDs()

Methods in elki.result.outlier with parameters of type DBIDs

Modifier and Type	Method	Description
ArrayModifiableDBIDs	OrderingFromRelation.order(DBIDs ids)

Uses of DBIDs in elki.similarity

Methods in elki.similarity with parameters of type DBIDs

Modifier and Type	Method	Description
protected static int	FractionalSharedNearestNeighborSimilarity.Instance.countSharedNeighbors(DBIDs neighbors1, DBIDs neighbors2)	Compute the intersection size.
protected static int	SharedNearestNeighborSimilarity.countSharedNeighbors(DBIDs neighbors1, DBIDs neighbors2)	Compute the intersection size

Uses of DBIDs in elki.similarity.kernel

Constructors in elki.similarity.kernel with parameters of type DBIDs

Constructor	Description
KernelMatrix(SimilarityQuery<? super O> kernelFunction, Relation<? extends O> relation, DBIDs ids)	Provides a new kernel matrix.
KernelMatrix(PrimitiveSimilarity<? super O> kernelFunction, Relation<? extends O> relation, DBIDs ids)	Provides a new kernel matrix.
SortedArrayMap(DBIDs ids)

Uses of DBIDs in elki.svm.data

Constructors in elki.svm.data with parameters of type DBIDs

Constructor	Description
SimilarityQueryAdapter(SimilarityQuery<?> sim, DBIDs ids)

Uses of DBIDs in elki.utilities.datastructures.unionfind

Methods in elki.utilities.datastructures.unionfind that return DBIDs

Modifier and Type	Method	Description
DBIDs	UnionFind.getRoots()	Collect all component root elements.
DBIDs	WeightedQuickUnionRangeDBIDs.getRoots()
DBIDs	WeightedQuickUnionStaticDBIDs.getRoots()

Uses of DBIDs in elki.visualization.style

Fields in elki.visualization.style with type parameters of type DBIDs

Modifier and Type	Field	Description
(package private) java.util.ArrayList<DBIDs>	ClusterStylingPolicy.ids	Object IDs.

Uses of DBIDs in elki.visualization.visualizers.scatterplot.selection

Methods in elki.visualization.visualizers.scatterplot.selection with parameters of type DBIDs

Modifier and Type	Method	Description
private void	MoveObjectsToolVisualization.Instance.updateDB(DBIDs dbids, double[] movingVector)	Updates the objects with the given DBIDs It will be moved depending on the given Vector

Uses of DBIDs in tutorial.clustering

Methods in tutorial.clustering with parameters of type DBIDs

Modifier and Type	Method	Description
protected ArrayModifiableDBIDs	SameSizeKMeans.initialAssignment(java.util.List<ModifiableDBIDs> clusters, WritableDataStore<SameSizeKMeans.Meta> metas, DBIDs ids)