Uses of Interface
de.lmu.ifi.dbs.elki.database.ids.DBID

Packages that use DBID

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering	Biclustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash	Helper classes for the CASH algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.application.jsmap	JavaScript based map client - server architecture.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.database.datastore	General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
de.lmu.ifi.dbs.elki.database.datastore.memory	Memory data store implementation for ELKI.
de.lmu.ifi.dbs.elki.database.ids	Database object identification and ID group handling API.
de.lmu.ifi.dbs.elki.database.ids.generic	Database object identification and ID group handling - generic implementations.
de.lmu.ifi.dbs.elki.database.ids.integer	Integer-based DBID implementation -- do not use directly - always use DBIDUtil.
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances.
de.lmu.ifi.dbs.elki.database.relation	Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.index	Index structure implementations
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.tree	Tree-based index structures
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	M-Tree and variants.
de.lmu.ifi.dbs.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.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab	MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree	MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query	Classes for performing queries (knn, range, ...) on metrical trees.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split	Splitting strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.index.tree.query	Classes related to generic tree queries.
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu	DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
de.lmu.ifi.dbs.elki.index.vafile	Vector Approximation File
de.lmu.ifi.dbs.elki.result.optics	Result classes for OPTICS.
de.lmu.ifi.dbs.elki.utilities.datastructures	Basic memory structures such as heaps and object hierarchies.
de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike	Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.
de.lmu.ifi.dbs.elki.utilities.exceptions	Exception classes and common exception messages.

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm

Methods in de.lmu.ifi.dbs.elki.algorithm that return types with arguments of type DBID

Modifier and Type	Method and Description
CollectionResult<CTriple<DBID,DBID,Double>>	MaterializeDistances.run(Database database, Relation<O> relation) Iterates over all points in the database.
CollectionResult<CTriple<DBID,DBID,Double>>	MaterializeDistances.run(Database database, Relation<O> relation) Iterates over all points in the database.

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return DBID

Modifier and Type	Method and Description
private DBID	DeLiClu.getStartObject(Relation<NV> relation) Returns the id of the start object for the run method.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type DBID

Modifier and Type	Method and Description
protected void	AbstractProjectedDBSCAN.expandCluster(LocallyWeightedDistanceFunction.Instance<V> distFunc, RangeQuery<V,DoubleDistance> rangeQuery, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) ExpandCluster function of DBSCAN.
protected void	SNNClustering.expandCluster(SimilarityQuery<O,IntegerDistance> snnInstance, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster adapted to SNN criterion.
protected void	OPTICS.expandClusterOrder(ClusterOrderResult<D> clusterOrder, Database database, RangeQuery<O,D> rangeQuery, DBID objectID, D epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.
protected void	OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder, Database database, RangeQuery<O,DoubleDistance> rangeQuery, DBID objectID, DoubleDistance epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.
protected ArrayModifiableDBIDs	SNNClustering.findSNNNeighbors(SimilarityQuery<O,IntegerDistance> snnInstance, DBID queryObject) Returns the shared nearest neighbors of the specified query object in the given database.

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering that return DBID

Modifier and Type	Method and Description
protected DBID	AbstractBiclustering.getRowDBID(int row) Deprecated. Expensive!

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash with type parameters of type DBID

Modifier and Type	Field and Description
private Map<HyperBoundingBox,Map<DBID,Double>>	CASHIntervalSplit.f_maxima Caches maximum function values for given intervals, used for better split performance.
private Map<HyperBoundingBox,Map<DBID,Double>>	CASHIntervalSplit.f_minima Caches minimum function values for given intervals, used for better split performance.

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans with parameters of type DBID

Modifier and Type	Method and Description
protected double	KMeansPlusPlusInitialMeans.initialWeights(double[] weights, ArrayDBIDs ids, DBID latest, DistanceQuery<? super V,D> distQ) Initialize the weight list.
protected double	KMeansPlusPlusInitialMeans.updateWeights(double[] weights, ArrayDBIDs ids, DBID latest, DistanceQuery<? super V,D> distQ) Update the weight list.
protected double	KMeansPlusPlusInitialMeans.updateWeights(double[] weights, ArrayDBIDs ids, DBID latest, PrimitiveDoubleDistanceFunction<V> distF, Relation<V> rel) Update the weight list.

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type DBID

Modifier and Type	Method and Description
private Map<DBID,PROCLUS.PROCLUSCluster>	PROCLUS.assignPoints(Map<DBID,gnu.trove.set.TIntSet> dimensions, Relation<V> database) Assigns the objects to the clusters.
private Map<DBID,gnu.trove.set.TIntSet>	PROCLUS.findDimensions(DBIDs medoids, Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, RangeQuery<V,DoubleDistance> rangeQuery) Determines the set of correlated dimensions for each medoid in the specified medoid set.
private Map<DBID,DistanceDBIDList<DoubleDistance>>	PROCLUS.getLocalities(DBIDs medoids, Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, RangeQuery<V,DoubleDistance> 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.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type DBID

Modifier and Type	Method and Description
private Map<DBID,PROCLUS.PROCLUSCluster>	PROCLUS.assignPoints(Map<DBID,gnu.trove.set.TIntSet> dimensions, Relation<V> database) Assigns the objects to the clusters.
private ModifiableDBIDs	PROCLUS.computeBadMedoids(Map<DBID,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.
private double	PROCLUS.evaluateClusters(Map<DBID,PROCLUS.PROCLUSCluster> clusters, Map<DBID,gnu.trove.set.TIntSet> dimensions, Relation<V> database) Evaluates the quality of the clusters.
private double	PROCLUS.evaluateClusters(Map<DBID,PROCLUS.PROCLUSCluster> clusters, Map<DBID,gnu.trove.set.TIntSet> dimensions, Relation<V> database) Evaluates the quality of the clusters.

Uses of DBID in de.lmu.ifi.dbs.elki.algorithm.outlier

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as DBID

Modifier and Type	Field and Description
DBID	HilOut.HilFeature.id Object ID

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type DBID

Modifier and Type	Method and Description
protected void	HilOut.HilFeature.insert(DBID id, double dt, int k) insert function inserts a nearest neighbor into a features nn list and its distance
private double	HilOut.HilbertFeatures.maxDistLevel(DBID id, int level) maxDist function calculate the maximal Distance from Vector p to the border of the corresponding r-region at the given level
private double	HilOut.HilbertFeatures.minDistLevel(DBID id, int level) minDist function calculate the minimal Distance from Vector p to the border of the corresponding r-region at the given level

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type DBID

Constructor and Description
HilOut.HilFeature(DBID id, ObjectHeap<DoubleDistanceDBIDPair> nn) Constructor.

Uses of DBID in de.lmu.ifi.dbs.elki.application.jsmap

Methods in de.lmu.ifi.dbs.elki.application.jsmap that return DBID

Modifier and Type	Method and Description
private DBID	JSONWebServer.stringToDBID(String query) Parse a string into a DBID.

Uses of DBID in de.lmu.ifi.dbs.elki.data.model

Fields in de.lmu.ifi.dbs.elki.data.model declared as DBID

Modifier and Type	Field and Description
private DBID	MedoidModel.medoid Cluster medoid

Methods in de.lmu.ifi.dbs.elki.data.model that return DBID

Modifier and Type	Method and Description
DBID	MedoidModel.getMedoid()

Methods in de.lmu.ifi.dbs.elki.data.model with parameters of type DBID

Modifier and Type	Method and Description
void	MedoidModel.setMedoid(DBID medoid)

Constructors in de.lmu.ifi.dbs.elki.data.model with parameters of type DBID

Constructor and Description
MedoidModel(DBID medoid) Constructor with medoid

Uses of DBID in de.lmu.ifi.dbs.elki.data.type

Fields in de.lmu.ifi.dbs.elki.data.type with type parameters of type DBID

Modifier and Type	Field and Description
static SimpleTypeInformation<DBID>	TypeUtil.DBID Database IDs.

Uses of DBID in de.lmu.ifi.dbs.elki.database.datastore

Methods in de.lmu.ifi.dbs.elki.database.datastore that return DBID

Modifier and Type	Method and Description
DBID	DBIDDataStore.get(DBIDRef id) Deprecated. Use DBIDDataStore.assignVar(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, de.lmu.ifi.dbs.elki.database.ids.DBIDVar) and a DBIDVar instead, to avoid boxing/unboxing cost.
DBID	WritableDBIDDataStore.put(DBIDRef id, DBID value) Deprecated. Use WritableDBIDDataStore.putDBID(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, de.lmu.ifi.dbs.elki.database.ids.DBIDRef) instead, to avoid boxing/unboxing cost.

Methods in de.lmu.ifi.dbs.elki.database.datastore with parameters of type DBID

Modifier and Type	Method and Description
DBID	WritableDBIDDataStore.put(DBIDRef id, DBID value) Deprecated. Use WritableDBIDDataStore.putDBID(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, de.lmu.ifi.dbs.elki.database.ids.DBIDRef) instead, to avoid boxing/unboxing cost.

Uses of DBID in de.lmu.ifi.dbs.elki.database.datastore.memory

Fields in de.lmu.ifi.dbs.elki.database.datastore.memory with type parameters of type DBID

Modifier and Type	Field and Description
private Map<DBID,Object[]>	MapRecordStore.data Storage Map.
private Map<DBID,T>	MapStore.data Storage Map.

Methods in de.lmu.ifi.dbs.elki.database.datastore.memory that return DBID

Modifier and Type	Method and Description
DBID	MapIntegerDBIDDBIDStore.get(DBIDRef id) Deprecated.
DBID	ArrayDBIDStore.get(DBIDRef id) Deprecated.
DBID	MapIntegerDBIDDBIDStore.put(DBIDRef id, DBID value) Deprecated.
DBID	ArrayDBIDStore.put(DBIDRef id, DBID value) Deprecated.

Methods in de.lmu.ifi.dbs.elki.database.datastore.memory with parameters of type DBID

Modifier and Type	Method and Description
DBID	MapIntegerDBIDDBIDStore.put(DBIDRef id, DBID value) Deprecated.
DBID	ArrayDBIDStore.put(DBIDRef id, DBID value) Deprecated.

Constructor parameters in de.lmu.ifi.dbs.elki.database.datastore.memory with type arguments of type DBID

Constructor and Description
MapRecordStore(int rlen, Map<DBID,Object[]> data) Constructor with existing data.
MapStore(Map<DBID,T> data) Constructor.

Uses of DBID in de.lmu.ifi.dbs.elki.database.ids

Methods in de.lmu.ifi.dbs.elki.database.ids that return DBID

Modifier and Type	Method and Description
static DBID	DBIDUtil.deref(DBIDRef ref) Dereference a DBID reference.
DBID	DBIDFactory.generateSingleDBID() Generate a single DBID.
static DBID	DBIDUtil.generateSingleDBID() Generate a single DBID.
DBID	EmptyDBIDs.get(int i)
DBID	ArrayDBIDs.get(int i) Get the i'th entry (starting at 0) If possible, use an DBIDArrayIter via ArrayDBIDs.iter() instead!
DBID	DBIDPair.getFirst() Getter for first
DBID	DBIDPair.getSecond() Getter for second element in pair
DBID	DoubleDBIDPair.getSecond() Deprecated. Avoid autoboxing! Use DBIDRef interface!
DBID	DBIDFactory.importInteger(int id) Import and integer as DBID.
static DBID	DBIDUtil.importInteger(int id) Import and integer as DBID.
DBID	ArrayModifiableDBIDs.remove(int i) Remove the i'th entry (starting at 0)
DBID	ArrayModifiableDBIDs.set(int i, DBIDRef newval) Replace the i'th entry (starting at 0)

Methods in de.lmu.ifi.dbs.elki.database.ids that return types with arguments of type DBID

Modifier and Type	Method and Description
ByteBufferSerializer<DBID>	DBIDFactory.getDBIDSerializer() Get a serializer for DBIDs.
static ByteBufferSerializer<DBID>	DBIDUtil.getDBIDSerializer() Get a serializer for DBIDs.
FixedSizeByteBufferSerializer<DBID>	DBIDFactory.getDBIDSerializerStatic() Get a serializer for DBIDs with static size.
static ByteBufferSerializer<DBID>	DBIDUtil.getDBIDSerializerStatic() Get a serializer for DBIDs with static size.
Class<? extends DBID>	DBIDFactory.getTypeRestriction() Get type restriction.

Methods in de.lmu.ifi.dbs.elki.database.ids with parameters of type DBID

Modifier and Type	Method and Description
static void	DBIDUtil.deallocateSingleDBID(DBID id) Return a single DBID for reuse.

Uses of DBID in de.lmu.ifi.dbs.elki.database.ids.generic

Fields in de.lmu.ifi.dbs.elki.database.ids.generic declared as DBID

Modifier and Type	Field and Description
(package private) DBID	DBIDIterAdapter.cur Current DBID.

Fields in de.lmu.ifi.dbs.elki.database.ids.generic with type parameters of type DBID

Modifier and Type	Field and Description
(package private) Iterator<DBID>	DBIDIterAdapter.iter The real iterator.

Methods in de.lmu.ifi.dbs.elki.database.ids.generic that return DBID

Modifier and Type	Method and Description
DBID	UnmodifiableArrayDBIDs.get(int i)

Constructor parameters in de.lmu.ifi.dbs.elki.database.ids.generic with type arguments of type DBID

Constructor and Description
DBIDIterAdapter(Iterator<DBID> iter) Constructor.

Uses of DBID in de.lmu.ifi.dbs.elki.database.ids.integer

Classes in de.lmu.ifi.dbs.elki.database.ids.integer that implement DBID

Modifier and Type	Class and Description
(package private) class	IntegerDBID Database ID object.

Fields in de.lmu.ifi.dbs.elki.database.ids.integer declared as DBID

Modifier and Type	Field and Description
(package private) DBID	AbstractIntegerDBIDFactory.invalid Invalid ID.

Fields in de.lmu.ifi.dbs.elki.database.ids.integer with type parameters of type DBID

Modifier and Type	Field and Description
static ByteBufferSerializer<DBID>	IntegerDBID.DYNAMIC_SERIALIZER The public instance to use for dynamic serialization.
static FixedSizeByteBufferSerializer<DBID>	IntegerDBID.STATIC_SERIALIZER The public instance to use for static serialization.

Methods in de.lmu.ifi.dbs.elki.database.ids.integer that return DBID

Modifier and Type	Method and Description
DBID	IntegerDBID.DynamicSerializer.fromByteBuffer(ByteBuffer buffer)
DBID	IntegerDBID.StaticSerializer.fromByteBuffer(ByteBuffer buffer)
DBID	TrivialDBIDFactory.generateSingleDBID()
DBID	ReusingDBIDFactory.generateSingleDBID()
DBID	SimpleDBIDFactory.generateSingleDBID()
DBID	UnmodifiableIntegerArrayDBIDs.get(int i)
DBID	IntegerDBID.get(int i)
DBID	IntegerDBIDVar.get(int i)
DBID	IntegerDBIDRange.get(int i)
DBID	ArrayModifiableIntegerDBIDs.get(int i)
DBID	ArrayModifiableIntegerDBIDs.Slice.get(int i)
DBID	ArrayStaticIntegerDBIDs.get(int i)
DBID	ArrayStaticIntegerDBIDs.Slice.get(int i)
DBID	IntegerDoubleDBIDPair.getSecond() Deprecated.
DBID	AbstractIntegerDBIDFactory.importInteger(int id)
DBID	ArrayModifiableIntegerDBIDs.remove(int index)
DBID	ArrayModifiableIntegerDBIDs.set(int index, DBIDRef element)

Methods in de.lmu.ifi.dbs.elki.database.ids.integer that return types with arguments of type DBID

Modifier and Type	Method and Description
ByteBufferSerializer<DBID>	AbstractIntegerDBIDFactory.getDBIDSerializer()
FixedSizeByteBufferSerializer<DBID>	AbstractIntegerDBIDFactory.getDBIDSerializerStatic()
Class<? extends DBID>	AbstractIntegerDBIDFactory.getTypeRestriction()

Methods in de.lmu.ifi.dbs.elki.database.ids.integer with parameters of type DBID

Modifier and Type	Method and Description
int	IntegerDBID.DynamicSerializer.getByteSize(DBID object)
int	IntegerDBID.StaticSerializer.getByteSize(DBID object)
void	IntegerDBID.DynamicSerializer.toByteBuffer(ByteBuffer buffer, DBID object)
void	IntegerDBID.StaticSerializer.toByteBuffer(ByteBuffer buffer, DBID object)

Uses of DBID in de.lmu.ifi.dbs.elki.database.query.distance

Methods in de.lmu.ifi.dbs.elki.database.query.distance with parameters of type DBID

Modifier and Type	Method and Description
D	SpatialPrimitiveDistanceQuery.minDist(SpatialComparable mbr, DBID id)
D	SpatialDistanceQuery.minDist(SpatialComparable mbr, DBID id) Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.

Constructor parameters in de.lmu.ifi.dbs.elki.database.query.distance with type arguments of type DBID

Constructor and Description
DBIDDistanceQuery(Relation<DBID> relation, DBIDDistanceFunction<D> distanceFunction) Constructor.

Uses of DBID in de.lmu.ifi.dbs.elki.database.relation

Methods in de.lmu.ifi.dbs.elki.database.relation that return DBID

Modifier and Type	Method and Description
DBID	DBIDView.get(DBIDRef id)

Methods in de.lmu.ifi.dbs.elki.database.relation that return types with arguments of type DBID

Modifier and Type	Method and Description
SimpleTypeInformation<DBID>	DBIDView.getDataTypeInformation()

Methods in de.lmu.ifi.dbs.elki.database.relation with parameters of type DBID

Modifier and Type	Method and Description
void	DBIDView.set(DBIDRef id, DBID val)

Uses of DBID in de.lmu.ifi.dbs.elki.distance.distancefunction

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction with type parameters of type DBID

Modifier and Type	Method and Description
<O extends DBID> DistanceQuery<O,D>	AbstractDBIDDistanceFunction.instantiate(Relation<O> database)

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction that return types with arguments of type DBID

Modifier and Type	Method and Description
SimpleTypeInformation<DBID>	AbstractDBIDDistanceFunction.getInputTypeRestriction()

Uses of DBID in de.lmu.ifi.dbs.elki.distance.distancefunction.external

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.external with parameters of type DBID

Modifier and Type	Method and Description
private void	NumberDistanceParser.put(DBID id1, DBID id2, D distance, Map<DBIDPair,D> cache) Puts the specified distance value for the given ids to the distance cache.

Uses of DBID in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with parameters of type DBID

Modifier and Type	Method and Description
double	AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance.weightedDistance(DBID id1, DBID id2, BitSet weightVector) Computes the weighted distance between the two specified vectors according to the given preference vector.
double	AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance.weightedPrefereneceVectorDistance(DBID id1, DBID id2) Computes the weighted distance between the two specified data vectors according to their preference vectors.

Uses of DBID in de.lmu.ifi.dbs.elki.distance.similarityfunction

Fields in de.lmu.ifi.dbs.elki.distance.similarityfunction with type parameters of type DBID

Modifier and Type	Field and Description
protected Relation<? extends DBID>	AbstractDBIDSimilarityFunction.database The database we work on

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction with parameters of type DBID

Modifier and Type	Method and Description
D	DBIDSimilarityFunction.similarity(DBID id1, DBID id2) Computes the similarity between two given DatabaseObjects according to this similarity function.

Constructor parameters in de.lmu.ifi.dbs.elki.distance.similarityfunction with type arguments of type DBID

Constructor and Description
AbstractDBIDSimilarityFunction(Relation<? extends DBID> database) Constructor.

Uses of DBID in de.lmu.ifi.dbs.elki.index

Methods in de.lmu.ifi.dbs.elki.index with parameters of type DBID

Modifier and Type	Method and Description
protected O	AbstractRefiningIndex.refine(DBID id) Refine a given object (and count the refinement!).
protected D	AbstractRefiningIndex.AbstractKNNQuery.refine(DBID id, O q) Refinement distance computation.

Uses of DBID in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.knn with parameters of type DBID

Modifier and Type	Method and Description
KNNList<D>	MaterializeKNNAndRKNNPreprocessor.getKNN(DBID id) Returns the materialized kNNs of the specified id.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree

Fields in de.lmu.ifi.dbs.elki.index.tree declared as DBID

Modifier and Type	Field and Description
private DBID	AbstractLeafEntry.id Holds the id of the object (node or data object) represented by this entry.

Methods in de.lmu.ifi.dbs.elki.index.tree that return DBID

Modifier and Type	Method and Description
DBID	AbstractLeafEntry.getDBID()
DBID	LeafEntry.getDBID() Get the DBID of this leaf entry.

Constructors in de.lmu.ifi.dbs.elki.index.tree with parameters of type DBID

Constructor and Description
AbstractLeafEntry(DBID id) Provides a new AbstractEntry with the specified id.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants declared as DBID

Modifier and Type	Field and Description
private DBID	MTreeDirectoryEntry.routingObjectID The id of routing object of this entry.

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants that return DBID

Modifier and Type	Method and Description
DBID	MTreeLeafEntry.getRoutingObjectID() Returns the id of the underlying data object of this entry.
DBID	MTreeEntry.getRoutingObjectID() Returns the id of the underlying database object of this entry, if this entry is a leaf entry, the id of the routing object, otherwise.
DBID	MTreeDirectoryEntry.getRoutingObjectID() Returns the id of the routing object of this entry.

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants with parameters of type DBID

Modifier and Type	Method and Description
void	AbstractMTreeNode.adjustEntry(E entry, DBID routingObjectID, double parentDistance, AbstractMTree<O,D,N,E,?> mTree) Adjusts the parameters of the entry representing this node (e.g. after insertion of new objects).
double	AbstractMTreeNode.coveringRadius(DBID routingObjectID, AbstractMTree<O,D,N,E,?> mTree) Determines and returns the covering radius of this node.
protected abstract E	AbstractMTree.createNewDirectoryEntry(N node, DBID routingObjectID, double parentDistance) Creates a new directory entry representing the specified node.
private IndexTreePath<E>	AbstractMTree.createNewRoot(N oldRoot, N newNode, DBID firstRoutingObjectID, DBID secondRoutingObjectID) Creates a new root node that points to the two specified child nodes and return the path to the new root.
protected List<DoubleIntPair>	AbstractMTree.getSortedEntries(N node, DBID q) Sorts the entries of the specified node according to their minimum distance to the specified object.
void	MTreeLeafEntry.setRoutingObjectID(DBID objectID) todo ok
void	MTreeEntry.setRoutingObjectID(DBID objectID) Sets the id of the underlying database object of this entry, if this entry is a leaf entry, the id of the routing object, otherwise.
void	MTreeDirectoryEntry.setRoutingObjectID(DBID objectID) Sets the id of the routing object of this entry.

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants with parameters of type DBID

Constructor and Description
MTreeDirectoryEntry(DBID objectID, double parentDistance, Integer nodeID, double coveringRadius) Provides a new MTreeDirectoryEntry with the given parameters.
MTreeLeafEntry(DBID objectID, double parentDistance) Provides a new MTreeLeafEntry object with the given parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees that return types with arguments of type DBID

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

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees with type arguments of type DBID

Modifier and Type	Method and Description
protected abstract void	AbstractMkTreeUnified.kNNdistanceAdjustment(E entry, Map<DBID,KNNList<D>> knnLists) Performs a distance adjustment in the subtree of the specified root entry.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp with parameters of type DBID

Modifier and Type	Method and Description
void	MkAppTreeNode.adjustEntry(MkAppEntry entry, DBID routingObjectID, double parentDistance, AbstractMTree<O,D,MkAppTreeNode<O,D>,MkAppEntry,?> mTree) Adjusts the parameters of the entry representing this node.
protected MkAppEntry	MkAppTree.createNewDirectoryEntry(MkAppTreeNode<O,D> node, DBID routingObjectID, double parentDistance) Creates a new directory entry representing the specified node.
protected MkAppEntry	MkAppTreeIndex.createNewLeafEntry(DBID id, O object, double parentDistance) Creates a new leaf entry representing the specified data object in the specified subtree.

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp with type arguments of type DBID

Modifier and Type	Method and Description
private void	MkAppTree.adjustApproximatedKNNDistances(MkAppEntry entry, Map<DBID,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.
private List<D>	MkAppTree.getMeanKNNList(DBIDs ids, Map<DBID,KNNList<D>> knnLists)

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp with parameters of type DBID

Constructor and Description
MkAppDirectoryEntry(DBID objectID, double parentDistance, Integer nodeID, double coveringRadius, PolynomialApproximation approximation) Provides a new MkCoPDirectoryEntry with the given parameters.
MkAppLeafEntry(DBID objectID, double parentDistance, PolynomialApproximation approximation) Provides a new MkAppLeafEntry with the given parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with parameters of type DBID

Modifier and Type	Method and Description
void	MkCoPTreeNode.adjustEntry(MkCoPEntry entry, DBID routingObjectID, double parentDistance, AbstractMTree<O,D,MkCoPTreeNode<O,D>,MkCoPEntry,?> mTree)
protected MkCoPEntry	MkCoPTree.createNewDirectoryEntry(MkCoPTreeNode<O,D> node, DBID routingObjectID, double parentDistance) Creates a new directory entry representing the specified node.
protected MkCoPEntry	MkCoPTreeIndex.createNewLeafEntry(DBID id, O object, double parentDistance) Creates a new leaf entry representing the specified data object in the specified subtree.

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type arguments of type DBID

Modifier and Type	Method and Description
private void	MkCoPTree.adjustApproximatedKNNDistances(MkCoPEntry entry, Map<DBID,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with parameters of type DBID

Constructor and Description
MkCoPDirectoryEntry(DBID objectID, double parentDistance, Integer nodeID, double coveringRadius, ApproximationLine conservativeApproximation) Provides a new MkCoPDirectoryEntry with the given parameters.
MkCoPLeafEntry(DBID objectID, double parentDistance, ApproximationLine conservativeApproximation, ApproximationLine progressiveApproximation) Provides a new MkCoPLeafEntry with the given parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax with parameters of type DBID

Modifier and Type	Method and Description
void	MkMaxTreeNode.adjustEntry(MkMaxEntry entry, DBID routingObjectID, double parentDistance, AbstractMTree<O,D,MkMaxTreeNode<O,D>,MkMaxEntry,?> mTree) Calls the super method and adjust additionally the k-nearest neighbor distance of this node as the maximum of the k-nearest neighbor distances of all its entries.
protected MkMaxEntry	MkMaxTree.createNewDirectoryEntry(MkMaxTreeNode<O,D> node, DBID routingObjectID, double parentDistance)
protected MkMaxLeafEntry	MkMaxTreeIndex.createNewLeafEntry(DBID id, O object, double parentDistance)

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax with type arguments of type DBID

Modifier and Type	Method and Description
protected void	MkMaxTree.kNNdistanceAdjustment(MkMaxEntry entry, Map<DBID,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax with parameters of type DBID

Constructor and Description
MkMaxDirectoryEntry(DBID objectID, double parentDistance, Integer nodeID, double coveringRadius, double knnDistance) Provides a new MkMaxDirectoryEntry with the given parameters.
MkMaxLeafEntry(DBID objectID, double parentDistance, double knnDistance) Provides a new MkMaxLeafEntry with the given parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab with parameters of type DBID

Modifier and Type	Method and Description
void	MkTabTreeNode.adjustEntry(MkTabEntry entry, DBID routingObjectID, double parentDistance, AbstractMTree<O,D,MkTabTreeNode<O,D>,MkTabEntry,?> mTree)
protected MkTabEntry	MkTabTree.createNewDirectoryEntry(MkTabTreeNode<O,D> node, DBID routingObjectID, double parentDistance) Creates a new directory entry representing the specified node.
protected MkTabEntry	MkTabTreeIndex.createNewLeafEntry(DBID id, O object, double parentDistance) Creates a new leaf entry representing the specified data object in the specified subtree.

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab with type arguments of type DBID

Modifier and Type	Method and Description
protected void	MkTabTree.kNNdistanceAdjustment(MkTabEntry entry, Map<DBID,KNNList<D>> knnLists)

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab with parameters of type DBID

Constructor and Description
MkTabDirectoryEntry(DBID objectID, double parentDistance, Integer nodeID, double coveringRadius, double[] knnDistances) Provides a new MkMaxDirectoryEntry with the given parameters.
MkTabLeafEntry(DBID objectID, double parentDistance, double[] knnDistances) Provides a new MkMaxLeafEntry with the given parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree with parameters of type DBID

Modifier and Type	Method and Description
protected MTreeEntry	MTree.createNewDirectoryEntry(MTreeNode<O,D> node, DBID routingObjectID, double parentDistance)
protected MTreeEntry	MTreeIndex.createNewLeafEntry(DBID id, O object, double parentDistance)

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query with parameters of type DBID

Modifier and Type	Method and Description
private void	MetricalIndexRangeQuery.doRangeQuery(DBID o_p, AbstractMTreeNode<O,D,?,?> node, O q, D r_q, GenericDistanceDBIDList<D> result) Performs a range query on the specified subtree.
private void	DoubleDistanceMetricalIndexRangeQuery.doRangeQuery(DBID id_p, AbstractMTreeNode<O,DoubleDistance,?,?> node, O q, double r_q, ModifiableDoubleDistanceDBIDList result) Performs a range query on the specified subtree.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split declared as DBID

Modifier and Type	Field and Description
private DBID	Assignments.id1 The id of the first routing object.
private DBID	Assignments.id2 The id of the second routing object.

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split that return DBID

Modifier and Type	Method and Description
DBID	Assignments.getFirstRoutingObject() Returns the id of the first routing object.
DBID	Assignments.getSecondRoutingObject() Returns the id of the second routing object.

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split with parameters of type DBID

Modifier and Type	Method and Description
(package private) Assignments<E>	MTreeSplit.balancedPartition(AbstractMTree<O,D,N,E,?> tree, N node, DBID routingObject1, DBID routingObject2) Creates a balanced partition of the entries of the specified node.

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split with parameters of type DBID

Constructor and Description
Assignments(DBID id1, DBID id2, double firstCoveringRadius, double secondCoveringRadius, List<DistanceEntry<E>> firstAssignments, List<DistanceEntry<E>> secondAssignments) Provides an assignment during a split of an MTree node.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.query

Fields in de.lmu.ifi.dbs.elki.index.tree.query declared as DBID

Modifier and Type	Field and Description
DBID	GenericMTreeDistanceSearchCandidate.routingObjectID The id of the routing object.
DBID	DoubleMTreeDistanceSearchCandidate.routingObjectID The id of the routing object.

Constructors in de.lmu.ifi.dbs.elki.index.tree.query with parameters of type DBID

Constructor and Description
DoubleMTreeDistanceSearchCandidate(double mindist, int nodeID, DBID routingObjectID, double routingDistance) Creates a new heap node with the specified parameters.
GenericMTreeDistanceSearchCandidate(double mindist, int nodeID, DBID routingObjectID) Creates a new heap node with the specified parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.spatial

Constructors in de.lmu.ifi.dbs.elki.index.tree.spatial with parameters of type DBID

Constructor and Description
SpatialPointLeafEntry(DBID id, double[] values) Constructs a new LeafEntry object with the given parameters.
SpatialPointLeafEntry(DBID id, NumberVector<?> vector) Constructor from number vector.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu with parameters of type DBID

Modifier and Type	Method and Description
protected DeLiCluLeafEntry	DeLiCluTreeIndex.createNewLeafEntry(DBID id) Creates a new leaf entry representing the specified data object.
List<TreeIndexPathComponent<DeLiCluEntry>>	DeLiCluTreeIndex.setHandled(DBID id, O obj) Marks the specified object as handled and returns the path of node ids from the root to the objects's parent.

Constructors in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu with parameters of type DBID

Constructor and Description
DeLiCluLeafEntry(DBID id, NumberVector<?> vector) Constructs a new LeafEntry object with the given parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Method parameters in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query with type arguments of type DBID

Modifier and Type	Method and Description
protected void	DoubleDistanceRStarTreeKNNQuery.batchNN(AbstractRStarTreeNode<?,?> node, Map<DBID,DoubleDistanceKNNHeap> knnLists) Performs a batch knn query.
protected void	GenericRStarTreeKNNQuery.batchNN(AbstractRStarTreeNode<?,?> node, Map<DBID,KNNHeap<D>> knnLists) Performs a batch knn query.

Uses of DBID in de.lmu.ifi.dbs.elki.index.vafile

Fields in de.lmu.ifi.dbs.elki.index.vafile declared as DBID

Modifier and Type	Field and Description
protected DBID	VectorApproximation.id Object represented by this approximation

Methods in de.lmu.ifi.dbs.elki.index.vafile that return DBID

Modifier and Type	Method and Description
DBID	PartialVAFile.PartialVACandidate.getId()
DBID	VectorApproximation.getId()

Methods in de.lmu.ifi.dbs.elki.index.vafile with parameters of type DBID

Modifier and Type	Method and Description
VectorApproximation	VAFile.calculateApproximation(DBID id, V dv) Calculate the VA file position given the existing borders.
protected VectorApproximation	PartialVAFile.calculateFullApproximation(DBID id, V dv) Calculate the VA file position given the existing borders.
protected static VectorApproximation	PartialVAFile.calculatePartialApproximation(DBID id, NumberVector<?> dv, List<DoubleObjPair<DAFile>> daFiles) Calculate partial vector approximation.

Constructors in de.lmu.ifi.dbs.elki.index.vafile with parameters of type DBID

Constructor and Description
VectorApproximation(DBID id, int[] approximation) Constructor.

Uses of DBID in de.lmu.ifi.dbs.elki.result.optics

Fields in de.lmu.ifi.dbs.elki.result.optics declared as DBID

Modifier and Type	Field and Description
private DBID	DoubleDistanceClusterOrderEntry.objectID The id of the entry.
private DBID	GenericClusterOrderEntry.objectID The id of the entry.
private DBID	DoubleDistanceClusterOrderEntry.predecessorID The id of the entry's predecessor.
private DBID	GenericClusterOrderEntry.predecessorID The id of the entry's predecessor.

Methods in de.lmu.ifi.dbs.elki.result.optics that return DBID

Modifier and Type	Method and Description
DBID	ClusterOrderResult.PredecessorAdapter.get(DBIDRef objID)
DBID	DoubleDistanceClusterOrderEntry.getID() Returns the object id of this entry.
DBID	ClusterOrderEntry.getID() Returns the object id of this entry.
DBID	GenericClusterOrderEntry.getID() Returns the object id of this entry.
DBID	DoubleDistanceClusterOrderEntry.getPredecessorID() Returns the id of the predecessor of this entry if this entry has a predecessor, null otherwise.
DBID	ClusterOrderEntry.getPredecessorID() Returns the id of the predecessor of this entry if this entry has a predecessor, null otherwise.
DBID	GenericClusterOrderEntry.getPredecessorID() Returns the id of the predecessor of this entry if this entry has a predecessor, null otherwise.

Methods in de.lmu.ifi.dbs.elki.result.optics that return types with arguments of type DBID

Modifier and Type	Method and Description
SimpleTypeInformation<DBID>	ClusterOrderResult.PredecessorAdapter.getDataTypeInformation()

Methods in de.lmu.ifi.dbs.elki.result.optics with parameters of type DBID

Modifier and Type	Method and Description
void	ClusterOrderResult.add(DBID id, DBID predecessor, D reachability) Add an object to the cluster order.
void	ClusterOrderResult.PredecessorAdapter.set(DBIDRef id, DBID val)

Constructors in de.lmu.ifi.dbs.elki.result.optics with parameters of type DBID

Constructor and Description
DoubleDistanceClusterOrderEntry(DBID objectID, DBID predecessorID, double reachability) Creates a new entry in a cluster order with the specified parameters.
GenericClusterOrderEntry(DBID objectID, DBID predecessorID, D reachability) Creates a new entry in a cluster order with the specified parameters.

Uses of DBID in de.lmu.ifi.dbs.elki.utilities.datastructures

Methods in de.lmu.ifi.dbs.elki.utilities.datastructures that return DBID

Modifier and Type	Method and Description
static DBID	QuickSelect.median(ArrayModifiableDBIDs data, Comparator<? super DBIDRef> comparator) Compute the median of an array efficiently using the QuickSelect method.
static DBID	QuickSelect.median(ArrayModifiableDBIDs data, Comparator<? super DBIDRef> comparator, int begin, int end) Compute the median of an array efficiently using the QuickSelect method.
static DBID	QuickSelect.quantile(ArrayModifiableDBIDs data, Comparator<? super DBIDRef> comparator, double quant) Compute the median of an array efficiently using the QuickSelect method.
static DBID	QuickSelect.quantile(ArrayModifiableDBIDs data, Comparator<? super DBIDRef> comparator, int begin, int end, double quant) Compute the median of an array efficiently using the QuickSelect method.
static DBID	QuickSelect.quickSelect(ArrayModifiableDBIDs data, Comparator<? super DBIDRef> comparator, int rank) QuickSelect is essentially quicksort, except that we only "sort" that half of the array that we are interested in.

Uses of DBID in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Methods in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike that return DBID

Modifier and Type	Method and Description
DBID	ArrayDBIDsAdapter.get(ArrayDBIDs array, int off)

Uses of DBID in de.lmu.ifi.dbs.elki.utilities.exceptions

Constructors in de.lmu.ifi.dbs.elki.utilities.exceptions with parameters of type DBID

Constructor and Description
ObjectNotFoundException(DBID id) Object