Uses of Interface
elki.database.query.distance.DistanceQuery

Packages that use DistanceQuery

Package	Description
elki.algorithm.statistics	Statistical analysis algorithms.
elki.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
elki.clustering.kmeans.initialization	Initialization strategies for k-means.
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.database.query	Database queries - computing distances, neighbors, similarities - API and general documentation.
elki.database.query.distance	Prepared queries for distances.
elki.database.query.knn	Prepared queries for k nearest neighbor (kNN) queries.
elki.database.query.range	Prepared queries for ε-range queries, that return all objects within the radius ε.
elki.database.query.rknn	Prepared queries for reverse k nearest neighbor (rkNN) queries.
elki.distance	Distance functions for use within ELKI.
elki.distance.adapter	Distance functions deriving distances from, e.g., similarity measures.
elki.distance.external	Distance functions using external data sources.
elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.
elki.index	Index structure implementations.
elki.index.distancematrix	Precomputed distance matrix.
elki.index.idistance	iDistance is a distance based indexing technique, using a reference points embedding.
elki.index.invertedlist	Indexes using inverted lists.
elki.index.laesa	Linear Approximating and Eliminating Search Algorithm (LAESA).
elki.index.lsh	Locality Sensitive Hashing.
elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
elki.index.projected	Projected indexes for data.
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.mkcop	MkCoPTree.
elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree.
elki.index.tree.metrical.mtreevariants.mktrees.mktab	MkTabTree.
elki.index.tree.metrical.mtreevariants.mtree	MTree.
elki.index.tree.metrical.mtreevariants.query	Classes for performing queries (knn, range, ...) on metrical trees.
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.index.vafile	Vector Approximation File.
elki.math.statistics.intrinsicdimensionality	Methods for estimating the intrinsic dimensionality.
elki.outlier	Outlier detection algorithms.
elki.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
elki.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
elki.outlier.lof	LOF family of outlier detection algorithms.
elki.projection	Data projections (see also preprocessing filters for basic projections).

Uses of DistanceQuery in elki.algorithm.statistics

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

Modifier and Type	Method	Description
private void	EvaluateRetrievalPerformance.computeDistances(ModifiableDoubleDBIDList nlist, DBIDIter query, DistanceQuery<O> distQuery, Relation<O> relation)	Compute the distances to the neighbor objects.
private DoubleMinMax	DistanceStatisticsWithClasses.exactMinMax(Relation<O> relation, DistanceQuery<O> distance)	Compute the exact maximum and minimum.
private DoubleMinMax	DistanceStatisticsWithClasses.sampleMinMax(Relation<O> relation, DistanceQuery<O> distance)	Estimate minimum and maximum via sampling.

Uses of DistanceQuery in elki.clustering.hierarchical

Fields in elki.clustering.hierarchical declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<?>	AbstractHDBSCAN.HDBSCANAdapter.distq	Distance query for exact distances.
protected DistanceQuery<?>	HACAM.Instance.dq	Distance query
protected DistanceQuery<?>	MedoidLinkage.Instance.dq	Distance query
protected DistanceQuery<?>	MiniMax.Instance.dq	Distance query function

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

Modifier and Type	Method	Description
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.
protected static ClusterDistanceMatrix	AGNES.initializeDistanceMatrix(ArrayDBIDs ids, DistanceQuery<?> dq, Linkage linkage)	Initialize a distance matrix.
protected static <O> ClusterDistanceMatrix	MiniMax.initializeMatrices(ArrayDBIDs ids, ArrayModifiableDBIDs prots, DistanceQuery<O> dq)	Initializes the inter-cluster distance matrix of possible merges
ClusterPrototypeMergeHistory	HACAM.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)	Run HACAM linkage
ClusterPrototypeMergeHistory	MedoidLinkage.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq)	Run medoid linkage
ClusterPrototypeMergeHistory	MiniMax.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)
ClusterPrototypeMergeHistory	MiniMaxAnderberg.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)
ClusterPrototypeMergeHistory	MiniMaxNNChain.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)
private void	SLINK.step2(DBIDRef id, DBIDArrayIter it, int n, DistanceQuery<? super O> distQuery, 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.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.

Constructors in elki.clustering.hierarchical with parameters of type DistanceQuery

Constructor	Description
HDBSCANAdapter(ArrayDBIDs ids, DoubleDataStore coredists, DistanceQuery<?> distq)	Constructor.

Uses of DistanceQuery in elki.clustering.kmeans.initialization

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

Modifier and Type	Field	Description
(package private) DistanceQuery<?>	KMeansPlusPlus.MedoidsInstance.distQ	Distance query

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

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 DistanceQuery

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

Uses of DistanceQuery in elki.clustering.kmedoids

Classes in elki.clustering.kmedoids that implement DistanceQuery

Modifier and Type	Class	Description
protected static class	CLARA.CachedDistanceQuery<V>	Cached distance query.

Fields in elki.clustering.kmedoids declared as DistanceQuery

Modifier and Type	Field	Description
(package private) DistanceQuery<?>	CLARANS.Assignment.distQ	Distance function to use.
(package private) DistanceQuery<?>	PAM.Instance.distQ	Distance function to use.
(package private) DistanceQuery<?>	SingleAssignmentKMedoids.Instance.distQ	Distance function to use.
(package private) DistanceQuery<V>	CLARA.CachedDistanceQuery.inner	Inner distance query

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

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.
Clustering<MedoidModel>	AlternatingKMedoids.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	CLARA.run(Relation<V> relation, int k, DistanceQuery<? super V> distQ)
Clustering<MedoidModel>	CLARANS.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	EagerPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastCLARA.run(Relation<V> relation, int k, DistanceQuery<? super V> distQ)
Clustering<MedoidModel>	FasterCLARA.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FasterPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastPAM1.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	KMedoidsClustering.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)	Run k-medoids clustering with a given distance query. Not a very elegant API, but needed for some types of nested k-medoids.
Clustering<MedoidModel>	PAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	ReynoldsPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	SingleAssignmentKMedoids.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)

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

Constructor	Description
Assignment(DistanceQuery<?> distQ, DBIDs ids, int k)	Constructor.
Assignment(DistanceQuery<?> distQ, DBIDs ids, int k)	Constructor.
CachedDistanceQuery(DistanceQuery<V> inner, int size)	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 DistanceQuery in elki.clustering.kmedoids.initialization

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

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.
protected static double	LAB.getMinDist(DBIDArrayIter j, DistanceQuery<?> distQ, DBIDArrayIter mi, WritableDoubleDataStore mindist)	Get the minimum distance to previous medoids.

Uses of DistanceQuery in elki.clustering.optics

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

Modifier and Type	Method	Description
protected void	FastOPTICS.expandClusterOrder(DBID ipt, ClusterOrder order, DistanceQuery<V> dq, FiniteProgress prog)	OPTICS algorithm for processing a point, but with different density estimates

Uses of DistanceQuery in elki.clustering.silhouette

Fields in elki.clustering.silhouette declared as DistanceQuery

Modifier and Type	Field	Description
protected DistanceQuery<?>	FastMSC.Instance.distQ	Distance function to use.
protected DistanceQuery<?>	FastMSC.Instance2.distQ	Distance function to use.
(package private) DistanceQuery<?>	PAMSIL.Instance.distQ	Distance function to use.

Methods in elki.clustering.silhouette with parameters of type DistanceQuery

Modifier and Type	Method	Description
Clustering<MedoidModel>	FasterMSC.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastMSC.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	PAMMEDSIL.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	PAMSIL.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)

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

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 DistanceQuery in elki.clustering.subspace

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

Modifier and Type	Method	Description
private long[][]	PROCLUS.findDimensions(ArrayDBIDs medoids, Relation<? extends NumberVector> relation, DistanceQuery<? extends NumberVector> distance, RangeSearcher<DBIDRef> rangeQuery)	Determines the set of correlated dimensions for each medoid in the specified medoid set.
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.

Uses of DistanceQuery in elki.database.query

Subinterfaces of DistanceQuery in elki.database.query

Modifier and Type	Interface	Description
interface	DistanceSimilarityQuery<O>	Interface that is a combination of distance and a similarity function.

Fields in elki.database.query declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	QueryBuilder.distQuery	Bound distance to query

Methods in elki.database.query that return DistanceQuery

Modifier and Type	Method	Description
DistanceQuery<O>	QueryBuilder.distanceQuery()	Build a distance query.
<O> DistanceQuery<O>	EmpiricalQueryOptimizer.getDistanceQuery(Relation<? extends O> relation, Distance<? super O> distance, int flags)
default <O> DistanceQuery<O>	QueryOptimizer.getDistanceQuery(Relation<? extends O> relation, Distance<? super O> distanceFunction, int flags)	Optimize a distance query for this relation.

Methods in elki.database.query with parameters of type DistanceQuery

Modifier and Type	Method	Description
<O> KNNSearcher<DBIDRef>	EmpiricalQueryOptimizer.kNNByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)
default <O> KNNSearcher<DBIDRef>	QueryOptimizer.kNNByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)	Optimize a kNN query for this relation.
<O> KNNSearcher<O>	EmpiricalQueryOptimizer.kNNByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)
default <O> KNNSearcher<O>	QueryOptimizer.kNNByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)	Optimize a kNN query for this relation.
private <O> KNNIndex<O>	EmpiricalQueryOptimizer.makeKnnPreprocessor(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)	Make a knn preprocessor.
<O> PrioritySearcher<DBIDRef>	EmpiricalQueryOptimizer.priorityByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)
default <O> PrioritySearcher<DBIDRef>	QueryOptimizer.priorityByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)	Optimize a distance priority search for this relation.
<O> PrioritySearcher<O>	EmpiricalQueryOptimizer.priorityByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)
default <O> PrioritySearcher<O>	QueryOptimizer.priorityByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)	Optimize a distance priority search for this relation.
<O> RangeSearcher<DBIDRef>	EmpiricalQueryOptimizer.rangeByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)
default <O> RangeSearcher<DBIDRef>	QueryOptimizer.rangeByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)	Optimize a range query for this relation.
<O> RangeSearcher<O>	EmpiricalQueryOptimizer.rangeByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)
default <O> RangeSearcher<O>	QueryOptimizer.rangeByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, double maxrange, int flags)	Optimize a range query for this relation.
default <O> RKNNSearcher<DBIDRef>	QueryOptimizer.rkNNByDBID(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)	Optimize a reverse nearest neighbors query for this relation.
default <O> RKNNSearcher<O>	QueryOptimizer.rkNNByObject(Relation<? extends O> relation, DistanceQuery<O> distanceQuery, int maxk, int flags)	Optimize a reverse nearest neighbors query for this relation.

Constructors in elki.database.query with parameters of type DistanceQuery

Constructor	Description
QueryBuilder(DistanceQuery<? super O> distQuery)	Constructor.

Uses of DistanceQuery in elki.database.query.distance

Subinterfaces of DistanceQuery in elki.database.query.distance

Modifier and Type	Interface	Description
interface	DatabaseDistanceQuery<O>	Run a database query in a database context.
interface	SpatialDistanceQuery<V extends SpatialComparable>	Query interface for spatial distance queries.

Classes in elki.database.query.distance that implement DistanceQuery

Modifier and Type	Class	Description
class	DBIDDistanceQuery	Run a distance query based on DBIDs
class	DBIDRangeDistanceQuery	Run a distance query based on DBIDRanges
class	PrimitiveDistanceQuery<O>	Run a database query in a database context.
class	PrimitiveDistanceSimilarityQuery<O>	Combination query class, for convenience.
class	SpatialPrimitiveDistanceQuery<V extends SpatialComparable>	Distance query for spatial distance functions
class	SpatialPrimitiveDistanceSimilarityQuery<O extends SpatialComparable>	Combination query class, to allow combined implementations of spatial distances and similarities.

Fields in elki.database.query.distance declared as DistanceQuery

Modifier and Type	Field	Description
protected DistanceQuery<O>	LinearScanEuclideanPrioritySearcher.distanceQuery	Distance to use.
protected DistanceQuery<O>	LinearScanPrioritySearcher.distanceQuery	Distance to use.

Constructors in elki.database.query.distance with parameters of type DistanceQuery

Constructor	Description
ByDBID(DistanceQuery<O> distanceQuery)	Constructor.
ByDBID(DistanceQuery<O> distanceQuery)	Constructor.
ByObject(DistanceQuery<O> distanceQuery)	Constructor.
ByObject(DistanceQuery<O> distanceQuery)	Constructor.
LinearScanEuclideanPrioritySearcher(DistanceQuery<O> distanceQuery)	Constructor.
LinearScanPrioritySearcher(DistanceQuery<O> distanceQuery)	Constructor.

Uses of DistanceQuery in elki.database.query.knn

Fields in elki.database.query.knn declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	LinearScanKNNByDBID.distanceQuery	Hold the distance function to be used.
private DistanceQuery<O>	LinearScanKNNByObject.distanceQuery	Hold the distance function to be used.

Constructors in elki.database.query.knn with parameters of type DistanceQuery

Constructor	Description
LinearScanKNNByDBID(DistanceQuery<O> distanceQuery)	Constructor.
LinearScanKNNByObject(DistanceQuery<O> distanceQuery)	Constructor.

Uses of DistanceQuery in elki.database.query.range

Fields in elki.database.query.range declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	LinearScanDistanceRangeByDBID.distanceQuery	Distance to use.
private DistanceQuery<O>	LinearScanDistanceRangeByObject.distanceQuery	Distance to use.

Constructors in elki.database.query.range with parameters of type DistanceQuery

Constructor	Description
LinearScanDistanceRangeByDBID(DistanceQuery<O> distanceQuery)	Constructor.
LinearScanDistanceRangeByObject(DistanceQuery<O> distanceQuery)	Constructor.
LinearScanEuclideanRangeByObject(DistanceQuery<O> distanceQuery)	Constructor.

Uses of DistanceQuery in elki.database.query.rknn

Fields in elki.database.query.rknn declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	LinearScanRKNNByDBID.distanceQuery	Hold the distance function to be used.
private DistanceQuery<O>	LinearScanRKNNByObject.distanceQuery	Hold the distance function to be used.

Constructors in elki.database.query.rknn with parameters of type DistanceQuery

Constructor	Description
LinearScanRKNNByDBID(DistanceQuery<O> distanceQuery, KNNSearcher<DBIDRef> knnQuery)	Constructor.
LinearScanRKNNByObject(DistanceQuery<O> distanceQuery, KNNSearcher<DBIDRef> knnQuery)	Constructor.

Uses of DistanceQuery in elki.distance

Subinterfaces of DistanceQuery in elki.distance

Modifier and Type	Interface	Description
static interface	IndexBasedDistance.Instance<T,I extends Index>	Instance interface for Index based distance functions.

Classes in elki.distance that implement DistanceQuery

Modifier and Type	Class	Description
static class	AbstractDatabaseDistance.Instance<O>	The actual instance bound to a particular database.
static class	AbstractIndexBasedDistance.Instance<O,I extends Index,F extends Distance<? super O>>	The actual instance bound to a particular database.
static class	SharedNearestNeighborJaccardDistance.Instance<T>	Actual instance for a dataset.

Methods in elki.distance that return DistanceQuery

Modifier and Type	Method	Description
<O extends DBID> DistanceQuery<O>	AbstractDBIDRangeDistance.instantiate(Relation<O> database)
<T extends O> DistanceQuery<T>	Distance.instantiate(Relation<T> relation)	Instantiate with a database to get the actual distance query.
default <T extends O> DistanceQuery<T>	PrimitiveDistance.instantiate(Relation<T> relation)
<T extends DBID> DistanceQuery<T>	RandomStableDistance.instantiate(Relation<T> relation)

Uses of DistanceQuery in elki.distance.adapter

Classes in elki.distance.adapter that implement DistanceQuery

Modifier and Type	Class	Description
static class	AbstractSimilarityAdapter.Instance<O>	Inner proxy class for SNN distance function.
static class	ArccosSimilarityAdapter.Instance<O>	Distance function instance
static class	LinearSimilarityAdapter.Instance<O>	Distance function instance
static class	LnSimilarityAdapter.Instance<O>	Distance function instance

Methods in elki.distance.adapter that return DistanceQuery

Modifier and Type	Method	Description
abstract <T extends O> DistanceQuery<T>	AbstractSimilarityAdapter.instantiate(Relation<T> database)
<T extends O> DistanceQuery<T>	ArccosSimilarityAdapter.instantiate(Relation<T> database)
<T extends O> DistanceQuery<T>	LinearSimilarityAdapter.instantiate(Relation<T> database)
<T extends O> DistanceQuery<T>	LnSimilarityAdapter.instantiate(Relation<T> database)

Uses of DistanceQuery in elki.distance.external

Methods in elki.distance.external that return DistanceQuery

Modifier and Type	Method	Description
<O extends DBID> DistanceQuery<O>	FileBasedSparseDoubleDistance.instantiate(Relation<O> relation)
<O extends DBID> DistanceQuery<O>	FileBasedSparseFloatDistance.instantiate(Relation<O> relation)

Uses of DistanceQuery in elki.evaluation.clustering.internal

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

Modifier and Type	Method	Description
double	CIndex.evaluateClustering(Relation<? extends O> rel, DistanceQuery<O> dq, Clustering<?> c)	Evaluate a single clustering.
double	Silhouette.evaluateClustering(Relation<O> rel, DistanceQuery<O> dq, Clustering<?> c)	Evaluate a single clustering.
protected double	CIndex.processCluster(Cluster<?> cluster, java.util.List<? extends Cluster<?>> clusters, int i, DistanceQuery<O> dq, DoubleHeap maxDists, DoubleHeap minDists, int w)
protected void	CIndex.processSingleton(Cluster<?> cluster, Relation<? extends O> rel, DistanceQuery<O> dq, DoubleHeap maxDists, DoubleHeap minDists, int w)

Uses of DistanceQuery in elki.index

Fields in elki.index declared as DistanceQuery

Modifier and Type	Field	Description
protected DistanceQuery<O>	AbstractRefiningIndex.AbstractRefiningQuery.distanceQuery	Distance query.

Methods in elki.index that return DistanceQuery

Modifier and Type	Method	Description
DistanceQuery<O>	DistanceIndex.getDistanceQuery(Distance<? super O> distanceFunction)	Get a KNN query object for the given distance query and k.

Methods in elki.index with parameters of type DistanceQuery

Modifier and Type	Method	Description
default KNNSearcher<DBIDRef>	KNNIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)	Get a KNN query object for the given distance query and k.
default KNNSearcher<O>	DistancePriorityIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	KNNIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)	Get a KNN query object for the given distance query and k.
default PrioritySearcher<DBIDRef>	DistancePriorityIndex.priorityByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)	Get a priority search object.
PrioritySearcher<O>	DistancePriorityIndex.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)	Get a priority search object.
default RangeSearcher<DBIDRef>	RangeIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)	Get a range query object for the given distance query and k.
default RangeSearcher<O>	DistancePriorityIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	RangeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)	Get a range query object for the given distance query and k.
RKNNSearcher<DBIDRef>	RKNNIndex.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)	Get a RKNN query object for the given distance query and k.
RKNNSearcher<O>	RKNNIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)	Get a RKNN query object for the given distance query and k.

Constructors in elki.index with parameters of type DistanceQuery

Constructor	Description
AbstractRefiningQuery(DistanceQuery<O> distanceQuery)	Constructor.

Uses of DistanceQuery in elki.index.distancematrix

Classes in elki.index.distancematrix that implement DistanceQuery

Modifier and Type	Class	Description
class	PrecomputedDistanceMatrix.PrecomputedDistanceQuery	Distance query using the precomputed matrix.

Methods in elki.index.distancematrix that return DistanceQuery

Modifier and Type	Method	Description
DistanceQuery<O>	PrecomputedDistanceMatrix.getDistanceQuery(Distance<? super O> distanceFunction)

Methods in elki.index.distancematrix with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	PrecomputedDistanceMatrix.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	PrecomputedDistanceMatrix.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<DBIDRef>	PrecomputedDistanceMatrix.priorityByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
PrioritySearcher<O>	PrecomputedDistanceMatrix.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<DBIDRef>	PrecomputedDistanceMatrix.rangeByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	PrecomputedDistanceMatrix.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)

Uses of DistanceQuery in elki.index.idistance

Fields in elki.index.idistance declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	InMemoryIDistanceIndex.distanceQuery	Distance query.

Methods in elki.index.idistance with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<O>	InMemoryIDistanceIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<O>	InMemoryIDistanceIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
protected static <O> DoubleIntPair[]	InMemoryIDistanceIndex.rankReferencePoints(DistanceQuery<O> distanceQuery, O obj, ArrayDBIDs referencepoints)	Sort the reference points by distance to the query object

Constructors in elki.index.idistance with parameters of type DistanceQuery

Constructor	Description
IDistanceKNNSearcher(DistanceQuery<O> distanceQuery)	Constructor.
IDistanceRangeSearcher(DistanceQuery<O> distanceQuery)	Constructor.
InMemoryIDistanceIndex(Relation<O> relation, DistanceQuery<O> distance, KMedoidsInitialization<O> initialization, int numref)	Constructor.

Uses of DistanceQuery in elki.index.invertedlist

Methods in elki.index.invertedlist with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<V>	InMemoryInvertedIndex.kNNByObject(DistanceQuery<V> distanceQuery, int maxk, int flags)
RangeSearcher<V>	InMemoryInvertedIndex.rangeByObject(DistanceQuery<V> distanceQuery, double maxradius, int flags)

Uses of DistanceQuery in elki.index.laesa

Fields in elki.index.laesa declared as DistanceQuery

Modifier and Type	Field	Description
(package private) DistanceQuery<? super O>	LAESA.distq	Distance query, bound to the relation

Methods in elki.index.laesa with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	LAESA.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	LAESA.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	LAESA.rangeByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	LAESA.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)

Uses of DistanceQuery in elki.index.lsh

Methods in elki.index.lsh with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<V>	InMemoryLSHIndex.Instance.kNNByObject(DistanceQuery<V> distanceQuery, int maxk, int flags)
RangeSearcher<V>	InMemoryLSHIndex.Instance.rangeByObject(DistanceQuery<V> distanceQuery, double maxradius, int flags)

Constructors in elki.index.lsh with parameters of type DistanceQuery

Constructor	Description
LSHKNNQuery(DistanceQuery<V> distanceQuery)	Constructor.
LSHRangeQuery(DistanceQuery<V> distanceQuery)	Constructor.

Uses of DistanceQuery in elki.index.preprocessed.knn

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

Modifier and Type	Field	Description
protected DistanceQuery<O>	AbstractMaterializeKNNPreprocessor.distanceQuery	The distance query we used.
(package private) DistanceQuery<O>	NaiveProjectedKNNPreprocessor.NaiveProjectedKNNQuery.distq	Distance query to use for refinement
(package private) DistanceQuery<O>	SpacefillingKNNPreprocessor.SpaceFillingKNNQuery.distq	Distance query to use for refinement

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

Modifier and Type	Method	Description
DistanceQuery<O>	AbstractMaterializeKNNPreprocessor.getDistanceQuery()	The distance query we used.

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

Modifier and Type	Method	Description
PreprocessorKNNQuery	AbstractMaterializeKNNPreprocessor.kNNByDBID(DistanceQuery<O> distQ, int maxk, int flags)
KNNSearcher<DBIDRef>	NaiveProjectedKNNPreprocessor.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<DBIDRef>	SpacefillingKNNPreprocessor.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	AbstractMaterializeKNNPreprocessor.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)	Deprecated. not possible
KNNSearcher<O>	NaiveProjectedKNNPreprocessor.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	NNDescent.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	SpacefillingKNNPreprocessor.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	SpacefillingMaterializeKNNPreprocessor.kNNByObject(DistanceQuery<O> distQ, int maxk, int flags)
RKNNSearcher<DBIDRef>	MaterializeKNNAndRKNNPreprocessor.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	MaterializeKNNAndRKNNPreprocessor.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

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

Constructor	Description
AbstractMaterializeKNNPreprocessor(Relation<O> relation, DistanceQuery<O> distanceQuery, int k)	Constructor.
MaterializeKNNPreprocessor(Relation<O> relation, DistanceQuery<O> distanceQuery, int k, boolean noopt)	Constructor with preprocessing step.
NaiveProjectedKNNQuery(DistanceQuery<O> distanceQuery)	Constructor.
SpaceFillingKNNQuery(DistanceQuery<O> distanceQuery)	Constructor.

Uses of DistanceQuery in elki.index.projected

Fields in elki.index.projected declared as DistanceQuery

Modifier and Type	Field	Description
protected DistanceQuery<O>	ProjectedIndex.ProjectedRangeByDBID.distanceQuery	Hold the distance function to be used.
protected DistanceQuery<O>	ProjectedIndex.ProjectedRangeByObject.distanceQuery	Hold the distance function to be used.
(package private) DistanceQuery<O>	ProjectedIndex.ProjectedKNNByDBID.distq	Distance query for refinement.
(package private) DistanceQuery<O>	ProjectedIndex.ProjectedKNNByObject.distq	Distance query for refinement.
(package private) DistanceQuery<O>	ProjectedIndex.ProjectedRKNNByDBID.distq	Distance query for refinement.
(package private) DistanceQuery<O>	ProjectedIndex.ProjectedRKNNByObject.distq	Distance query for refinement.

Methods in elki.index.projected with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	ProjectedIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	LatLngAsECEFIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	LngLatAsECEFIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	ProjectedIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	ProjectedIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	LatLngAsECEFIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	LngLatAsECEFIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	ProjectedIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RKNNSearcher<DBIDRef>	ProjectedIndex.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	LatLngAsECEFIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	LngLatAsECEFIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	ProjectedIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

Constructors in elki.index.projected with parameters of type DistanceQuery

Constructor	Description
ProjectedKNNByDBID(DistanceQuery<O> distanceQuery, KNNSearcher<I> inner)	Constructor.
ProjectedKNNByObject(DistanceQuery<O> distanceQuery, KNNSearcher<I> inner)	Constructor.
ProjectedRangeByDBID(DistanceQuery<O> distanceQuery, RangeSearcher<I> inner)	Constructor.
ProjectedRangeByObject(DistanceQuery<O> distanceQuery, RangeSearcher<I> inner)	Constructor.
ProjectedRKNNByDBID(DistanceQuery<O> distanceQuery, RKNNSearcher<I> inner)	Constructor.
ProjectedRKNNByObject(DistanceQuery<O> distanceQuery, RKNNSearcher<I> inner)	Constructor.

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

Fields in elki.index.tree.metrical.covertree declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	AbstractCoverTree.distanceQuery	Distance query, on the data relation.

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	CoverTree.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<DBIDRef>	SimplifiedCoverTree.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	CoverTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	SimplifiedCoverTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<DBIDRef>	CoverTree.priorityByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
PrioritySearcher<DBIDRef>	SimplifiedCoverTree.priorityByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
PrioritySearcher<O>	CoverTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
PrioritySearcher<O>	SimplifiedCoverTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<DBIDRef>	CoverTree.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<DBIDRef>	SimplifiedCoverTree.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	CoverTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	SimplifiedCoverTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)

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

Fields in elki.index.tree.metrical.mtreevariants.mktrees declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	AbstractMkTree.distanceQuery	Distance query to use.

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

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	MkAppTreeIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	MkAppTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	MkAppTreeIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	MkAppTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RKNNSearcher<DBIDRef>	MkAppTreeIndex.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	MkAppTreeIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

Uses of DistanceQuery in elki.index.tree.metrical.mtreevariants.mktrees.mkcop

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	MkCoPTreeIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	MkCoPTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	MkCoPTreeIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	MkCoPTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RKNNSearcher<DBIDRef>	MkCoPTreeIndex.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	MkCoPTreeIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

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

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	MkMaxTreeIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	MkMaxTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	MkMaxTreeIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	MkMaxTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RKNNSearcher<DBIDRef>	MkMaxTreeIndex.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	MkMaxTreeIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

Uses of DistanceQuery in elki.index.tree.metrical.mtreevariants.mktrees.mktab

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	MkTabTreeIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	MkTabTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	MkTabTreeIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	MkTabTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RKNNSearcher<DBIDRef>	MkTabTreeIndex.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	MkTabTreeIndex.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

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

Fields in elki.index.tree.metrical.mtreevariants.mtree declared as DistanceQuery

Modifier and Type	Field	Description
protected DistanceQuery<O>	MTreeIndex.distanceQuery	The distance query.

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	MTreeIndex.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	MTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
RangeSearcher<DBIDRef>	MTreeIndex.rangeByDBID(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	MTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)

Uses of DistanceQuery in elki.index.tree.metrical.mtreevariants.query

Fields in elki.index.tree.metrical.mtreevariants.query declared as DistanceQuery

Modifier and Type	Field	Description
protected DistanceQuery<O>	MkTreeRKNNQuery.distanceQuery	Distance query
protected DistanceQuery<O>	MTreeKNNByDBID.distanceQuery	Hold the distance function to be used.
protected DistanceQuery<O>	MTreeKNNByObject.distanceQuery	Hold the distance function to be used.
protected DistanceQuery<O>	MTreeRangeByDBID.distanceQuery	Hold the distance function to be used.
protected DistanceQuery<O>	MTreeRangeByObject.distanceQuery	Hold the distance function to be used.

Constructors in elki.index.tree.metrical.mtreevariants.query with parameters of type DistanceQuery

Constructor	Description
MkTreeRKNNQuery(AbstractMkTree<O,?,?,?> index, DistanceQuery<O> distanceQuery)	Constructor.
MTreeKNNByDBID(AbstractMTree<O,?,?,?> index, DistanceQuery<O> distanceQuery)	Constructor.
MTreeKNNByObject(AbstractMTree<O,?,?,?> index, DistanceQuery<O> distanceQuery)	Constructor.
MTreeRangeByDBID(AbstractMTree<O,?,?,?> index, DistanceQuery<O> distanceQuery)	Constructor.
MTreeRangeByObject(AbstractMTree<O,?,?,?> index, DistanceQuery<O> distanceQuery)	Constructor.

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

Fields in elki.index.tree.metrical.vptree declared as DistanceQuery

Modifier and Type	Field	Description
(package private) DistanceQuery<O>	GNAT.distQuery	Actual distance query on the Data
private DistanceQuery<O>	VPTree.distQuery	Actual distance query on the Data

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

Modifier and Type	Method	Description
KNNSearcher<DBIDRef>	GNAT.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<DBIDRef>	VPTree.kNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	GNAT.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	VPTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<DBIDRef>	GNAT.priorityByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
PrioritySearcher<DBIDRef>	VPTree.priorityByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
PrioritySearcher<O>	GNAT.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
PrioritySearcher<O>	VPTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<DBIDRef>	GNAT.rangeByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<DBIDRef>	VPTree.rangeByDBID(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	GNAT.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	VPTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)

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

Methods in elki.index.tree.spatial.kd with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<O>	MemoryKDTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	MinimalisticMemoryKDTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
KNNSearcher<O>	SmallMemoryKDTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<O>	MemoryKDTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
PrioritySearcher<O>	MinimalisticMemoryKDTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
PrioritySearcher<O>	SmallMemoryKDTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	MemoryKDTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)
RangeSearcher<O>	MinimalisticMemoryKDTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	SmallMemoryKDTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxrange, int flags)

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

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

Modifier and Type	Method	Description
KNNSearcher<O>	DeLiCluTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<O>	DeLiCluTreeIndex.priorityByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	DeLiCluTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)

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

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

Modifier and Type	Method	Description
KNNSearcher<O>	FlatRStarTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<O>	FlatRStarTreeIndex.priorityByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	FlatRStarTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)

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

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

Modifier and Type	Method	Description
KNNSearcher<O>	RdKNNTree.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<O>	RdKNNTree.priorityByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	RdKNNTree.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RKNNSearcher<DBIDRef>	RdKNNTree.rkNNByDBID(DistanceQuery<O> distanceQuery, int maxk, int flags)
RKNNSearcher<O>	RdKNNTree.rkNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)

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

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

Modifier and Type	Method	Description
KNNSearcher<O>	RStarTreeIndex.kNNByObject(DistanceQuery<O> distanceQuery, int maxk, int flags)
PrioritySearcher<O>	RStarTreeIndex.priorityByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)
RangeSearcher<O>	RStarTreeIndex.rangeByObject(DistanceQuery<O> distanceQuery, double maxradius, int flags)

Uses of DistanceQuery in elki.index.vafile

Methods in elki.index.vafile with parameters of type DistanceQuery

Modifier and Type	Method	Description
KNNSearcher<V>	PartialVAFile.kNNByObject(DistanceQuery<V> distanceQuery, int maxk, int flags)
KNNSearcher<V>	VAFile.kNNByObject(DistanceQuery<V> distanceQuery, int maxk, int flags)
RangeSearcher<V>	PartialVAFile.rangeByObject(DistanceQuery<V> distanceQuery, double maxradius, int flags)
RangeSearcher<V>	VAFile.rangeByObject(DistanceQuery<V> distanceQuery, double maxradius, int flags)

Constructors in elki.index.vafile with parameters of type DistanceQuery

Constructor	Description
PartialVAFileKNNQuery(DistanceQuery<V> ddq, double p, long[] subspace)	Constructor.
PartialVAFileRangeQuery(DistanceQuery<V> ddq, double p, long[] subspace)	Constructor.
VAFileKNNQuery(DistanceQuery<V> distanceQuery, double p)	Constructor.
VAFileRangeQuery(DistanceQuery<V> distanceQuery, double p)	Constructor.

Uses of DistanceQuery in elki.math.statistics.intrinsicdimensionality

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

Modifier and Type	Method	Description
protected double	RABIDEstimator.computeABID(DistanceQuery<?> distq, KNNList knn, boolean bias)	Estimate intrinsic dimensionality (both variants).
double	ABIDEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<?> distq, DBIDRef cur, int k)
double	ALIDEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<?> distq, DBIDRef cur, int k)
double	ALIDEstimator.estimate(RangeSearcher<DBIDRef> rnq, DistanceQuery<?> distq, DBIDRef cur, double range)
default double	DistanceBasedIntrinsicDimensionalityEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<? extends java.lang.Object> distq, DBIDRef cur, int k)
default double	DistanceBasedIntrinsicDimensionalityEstimator.estimate(RangeSearcher<DBIDRef> rnq, DistanceQuery<? extends java.lang.Object> distq, DBIDRef cur, double range)
double	IntrinsicDimensionalityEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<? extends O> distq, DBIDRef cur, int k)	Estimate from a Reference Point, a KNNSearcher and the neighborhood size k.
double	IntrinsicDimensionalityEstimator.estimate(RangeSearcher<DBIDRef> rnq, DistanceQuery<? extends O> distq, DBIDRef cur, double range)	Estimate from a distance list.
double	LPCAEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<? extends NumberVector> distq, DBIDRef cur, int k)
double	LPCAEstimator.estimate(RangeSearcher<DBIDRef> rnq, DistanceQuery<? extends NumberVector> distq, DBIDRef cur, double range)
double	RABIDEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<?> distq, DBIDRef cur, int k)
double	TightLIDEstimator.estimate(KNNSearcher<DBIDRef> knnq, DistanceQuery<? extends java.lang.Object> distq, DBIDRef cur, int k)
double	TightLIDEstimator.estimate(RangeSearcher<DBIDRef> rnq, DistanceQuery<? extends java.lang.Object> distq, DBIDRef cur, double range)

Uses of DistanceQuery in elki.outlier

Methods in elki.outlier with parameters of type DistanceQuery

Modifier and Type	Method	Description
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)

Uses of DistanceQuery in elki.outlier.distance

Fields in elki.outlier.distance declared as DistanceQuery

Modifier and Type	Field	Description
private DistanceQuery<O>	HilOut.distq	Distance query

Uses of DistanceQuery in elki.outlier.intrinsic

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

Modifier and Type	Method	Description
protected DoubleDataStore	IDOS.computeIDs(DBIDs ids, KNNSearcher<DBIDRef> knnQ, DistanceQuery<O> distQ)	Computes all IDs

Uses of DistanceQuery in elki.outlier.lof

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

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.

Uses of DistanceQuery in elki.projection

Methods in elki.projection with parameters of type DistanceQuery

Modifier and Type	Method	Description
protected double[][]	GaussianAffinityMatrixBuilder.buildDistanceMatrix(ArrayDBIDs ids, DistanceQuery<?> dq)	Build a distance matrix of squared distances.