Uses of Class
de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance

Packages that use DoubleDistance

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
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.algorithm.outlier.subspace	Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.application.cache	Utility applications for the persistence layer such as distance cache builders.
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.distance	Distance-DBID pairs, lists and heaps.
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.knn	Prepared queries for k nearest neighbor (kNN) queries.
de.lmu.ifi.dbs.elki.database.query.range	Prepared queries for ε-range queries.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski	Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
de.lmu.ifi.dbs.elki.distance.distancefunction.strings	Distance functions for strings.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancevalue	Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference	Indexes storing preference vectors.
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.spatial.kd	K-d-tree and variants.
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.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.result.optics	Result classes for OPTICS.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as DoubleDistance

Modifier and Type	Field and Description
protected DoubleDistance	AbstractProjectedDBSCAN.epsilon Holds the value of AbstractProjectedDBSCAN.EPSILON_ID.

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering with type parameters of type DoubleDistance

Modifier and Type	Field and Description
private DistanceFunction<? super V,DoubleDistance>	AbstractProjectedClustering.distanceFunction The euclidean distance function.

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

Modifier and Type	Method and Description
protected DistanceFunction<? super V,DoubleDistance>	AbstractProjectedClustering.getDistanceFunction() Returns the distance function.
protected DistanceQuery<V,DoubleDistance>	AbstractProjectedClustering.getDistanceQuery(Database database) Returns the distance function.

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

Modifier and Type	Method and Description
protected void	OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder, Database database, RangeQuery<O,DoubleDistance> rangeQuery, DBID objectID, DoubleDistance epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.

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

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	OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder, Database database, RangeQuery<O,DoubleDistance> rangeQuery, DBID objectID, DoubleDistance 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.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type DoubleDistance

Constructor and Description
AbstractProjectedDBSCAN(DoubleDistance epsilon, int minpts, LocallyWeightedDistanceFunction<V> distanceFunction, int lambda) Constructor.

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

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type DoubleDistance

Modifier and Type	Method and Description
private void	ORCLUS.assign(Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, List<ORCLUS.ORCLUSCluster> clusters) Creates a partitioning of the database by assigning each object to its closest seed.
private Matrix	ORCLUS.findBasis(Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, ORCLUS.ORCLUSCluster cluster, int dim) Finds the basis of the subspace of dimensionality dim for the specified cluster.
private void	ORCLUS.merge(Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, List<ORCLUS.ORCLUSCluster> clusters, int k_new, int d_new, IndefiniteProgress cprogress) Reduces the number of seeds to k_new
private ORCLUS.ProjectedEnergy	ORCLUS.projectedEnergy(Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, ORCLUS.ORCLUSCluster c_i, ORCLUS.ORCLUSCluster c_j, int i, int j, int dim) Computes the projected energy of the specified clusters.
private ORCLUS.ORCLUSCluster	ORCLUS.union(Relation<V> relation, DistanceQuery<V,DoubleDistance> distFunc, ORCLUS.ORCLUSCluster c1, ORCLUS.ORCLUSCluster c2, int dim) Returns the union of the two specified clusters.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type DoubleDistance

Constructor and Description
FourC(DoubleDistance epsilon, int minpts, LocallyWeightedDistanceFunction<V> distanceFunction, int lambda) Constructor.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

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

Modifier and Type	Method and Description
DoubleDistance	NaiveAgglomerativeHierarchicalClustering.getDistanceFactory()

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

Modifier and Type	Method and Description
PointerHierarchyRepresentationResult<DoubleDistance>	NaiveAgglomerativeHierarchicalClustering.run(Database db, Relation<O> relation) Run the algorithm

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as DoubleDistance

Modifier and Type	Field and Description
private DoubleDistance	SUBCLU.epsilon Holds the value of SUBCLU.EPSILON_ID.
protected DoubleDistance	SUBCLU.Parameterizer.epsilon

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type DoubleDistance

Modifier and Type	Field and Description
protected DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance>	SUBCLU.Parameterizer.distance
private DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance>	SUBCLU.distanceFunction Holds the instance of the distance function specified by SUBCLU.DISTANCE_FUNCTION_ID.

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

Modifier and Type	Method and Description
private DoubleDistance	PROCLUS.manhattanSegmentalDistance(V o1, V o2, gnu.trove.set.TIntSet dimensions) Returns the Manhattan segmental distance between o1 and o2 relative to the specified dimensions.

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

Modifier and Type	Method and Description
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 DoubleDistance

Modifier and Type	Method and Description
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,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.
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.
private ModifiableDBIDs	PROCLUS.greedy(DistanceQuery<V,DoubleDistance> distFunc, DBIDs sampleSet, int m, Random random) Returns a piercing set of k medoids from the specified sample set.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type DoubleDistance

Constructor and Description
PreDeCon(DoubleDistance epsilon, int minpts, LocallyWeightedDistanceFunction<V> distanceFunction, int lambda) Constructor.
SUBCLU(DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance> distanceFunction, DoubleDistance epsilon, int minpts) Constructor.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type DoubleDistance

Constructor and Description
SUBCLU(DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance> distanceFunction, DoubleDistance epsilon, int minpts) Constructor.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier with type parameters of type DoubleDistance

Modifier and Type	Field and Description
private DistanceQuery<O,DoubleDistance>	HilOut.distq Distance query
protected SimilarityFunction<? super V,DoubleDistance>	ABOD.kernelFunction Store the configured Kernel version.
protected SimilarityFunction<V,DoubleDistance>	ABOD.Parameterizer.kernelFunction Distance function.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.outlier with type arguments of type DoubleDistance

Constructor and Description
ABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction) Constructor for Angle-Based Outlier Detection (ABOD).
FastABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction, int k) Constructor for Angle-Based Outlier Detection (ABOD).
LBABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction, int k, int l) Actual constructor, with parameters.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Method parameters in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace with type arguments of type DoubleDistance

Modifier and Type	Method and Description
private DoubleDistanceDBIDList	OUTRES.refineRange(DistanceDBIDList<DoubleDistance> neighc, double adjustedEps) Refine a range query.
private DoubleDistanceDBIDList	OUTRES.subsetNeighborhoodQuery(DistanceDBIDList<DoubleDistance> neighc, DBIDRef dbid, PrimitiveDoubleDistanceFunction<? super V> df, double adjustedEps, OUTRES.KernelDensityEstimator kernel) Refine neighbors within a subset.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.application.cache

Fields in de.lmu.ifi.dbs.elki.application.cache with type parameters of type DoubleDistance

Modifier and Type	Field and Description
private DistanceFunction<O,DoubleDistance>	CacheDoubleDistanceRangeQueries.distance Distance function that is to be cached.
private DistanceFunction<O,DoubleDistance>	CacheDoubleDistanceRangeQueries.Parameterizer.distance Distance function that is to be cached.

Constructor parameters in de.lmu.ifi.dbs.elki.application.cache with type arguments of type DoubleDistance

Constructor and Description
CacheDoubleDistanceRangeQueries(InputStep input, DistanceFunction<O,DoubleDistance> distance, double radius, File out) Constructor.

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

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

Modifier and Type	Method and Description
DoubleDistance	DoubleDistanceDataStore.get(DBIDRef id) Deprecated. Use DoubleDistanceDataStore.doubleValue(de.lmu.ifi.dbs.elki.database.ids.DBIDRef) instead, to avoid boxing/unboxing cost.
DoubleDistance	WritableDoubleDistanceDataStore.put(DBIDRef id, DoubleDistance value) Deprecated. Use WritableDoubleDistanceDataStore.putDouble(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, double) instead, to avoid boxing/unboxing cost.

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

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

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

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

Modifier and Type	Method and Description
DoubleDistance	ArrayDoubleDistanceStore.get(DBIDRef id) Deprecated.
DoubleDistance	MapIntegerDBIDDoubleDistanceStore.get(DBIDRef id) Deprecated.
DoubleDistance	ArrayDoubleDistanceStore.put(DBIDRef id, DoubleDistance value) Deprecated.
DoubleDistance	MapIntegerDBIDDoubleDistanceStore.put(DBIDRef id, DoubleDistance value) Deprecated.

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

Modifier and Type	Method and Description
DoubleDistance	ArrayDoubleDistanceStore.put(DBIDRef id, DoubleDistance value) Deprecated.
DoubleDistance	MapIntegerDBIDDoubleDistanceStore.put(DBIDRef id, DoubleDistance value) Deprecated.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.database.ids.distance

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

Modifier and Type	Method and Description
DoubleDistance	DoubleDistanceDBIDListIter.getDistance() Deprecated. Use DoubleDistanceDBIDListIter.doubleDistance() to avoid creating unnecessary objects.
DoubleDistance	DoubleDistanceDBIDPairList.Itr.getDistance() Deprecated.
DoubleDistance	DoubleDistanceDBIDPair.getDistance() Deprecated. Would produce a DoubleDistance object. Use DoubleDistanceDBIDPair.doubleDistance() instead!
DoubleDistance	DoubleDistanceKNNList.getKNNDistance() Deprecated. use doubleKNNDistance()!
DoubleDistance	DoubleDistanceKNNHeap.getKNNDistance() Deprecated. if you know your distances are double-valued, you should be using the primitive type.

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

Modifier and Type	Method and Description
void	ModifiableDoubleDistanceDBIDList.add(DoubleDistance dist, DBIDRef id) Deprecated. Pass a double value instead.
void	DoubleDistanceDBIDPairList.add(DoubleDistance dist, DBIDRef id) Deprecated. Pass a double value instead.
void	DoubleDistanceKNNHeap.insert(DoubleDistance dist, DBIDRef id) Deprecated. if you know your distances are double-valued, you should be using the primitive type.

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

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

Modifier and Type	Method and Description
DoubleDistance	DoubleDistanceDBIDPairKNNListHeap.Itr.getDistance() Deprecated. use DoubleDistanceDBIDPairKNNListHeap.Itr.doubleDistance()!
DoubleDistance	DoubleDistanceDBIDPairKNNList.Itr.getDistance() Deprecated. use DoubleDistanceDBIDPairKNNList.Itr.doubleDistance()!
DoubleDistance	DoubleDistanceKNNSubList.Itr.getDistance() Deprecated.
DoubleDistance	DoubleDistanceDBIDPairKNNListHeap.getKNNDistance() Deprecated.
DoubleDistance	DoubleDistanceDBIDPairKNNList.getKNNDistance() Deprecated.
DoubleDistance	DoubleDistanceDBIDPairKNNHeap.getKNNDistance() Deprecated. if you know your distances are double-valued, you should be using the primitive type.
DoubleDistance	DoubleDistanceKNNSubList.getKNNDistance() Deprecated.

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

Modifier and Type	Method and Description
void	DoubleDistanceDBIDPairKNNListHeap.insert(DoubleDistance dist, DBIDRef id) Deprecated.
void	DoubleDistanceDBIDPairKNNHeap.insert(DoubleDistance dist, DBIDRef id) Deprecated. if you know your distances are double-valued, you should be using the primitive type.

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

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

Modifier and Type	Method and Description
DoubleDistance	DoubleDistanceIntegerDBIDList.Itr.getDistance() Deprecated.
DoubleDistance	DoubleDistanceIntegerDBIDPairList.Itr.getDistance() Deprecated.
DoubleDistance	DoubleDistanceIntegerDBIDPairKNNListHeap.Itr.getDistance() Deprecated. use DoubleDistanceIntegerDBIDPairKNNListHeap.Itr.doubleDistance()!
DoubleDistance	DoubleDistanceIntegerDBIDPair.getDistance() Deprecated.
DoubleDistance	DoubleDistanceIntegerDBIDKNNList.getKNNDistance() Deprecated. Since you know this is a double distance heap, use DoubleDistanceIntegerDBIDKNNList.doubleKNNDistance()
DoubleDistance	DoubleDistanceIntegerDBIDKNNHeap.getKNNDistance() Deprecated.
DoubleDistance	DoubleDistanceIntegerDBIDPairKNNListHeap.getKNNDistance() Deprecated.

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

Modifier and Type	Method and Description
void	DoubleDistanceIntegerDBIDList.add(DoubleDistance dist, DBIDRef id) Deprecated.
void	DoubleDistanceIntegerDBIDPairList.add(DoubleDistance dist, DBIDRef id) Deprecated.
void	DoubleDistanceIntegerDBIDKNNHeap.insert(DoubleDistance distance, DBIDRef id) Deprecated.
void	DoubleDistanceIntegerDBIDPairKNNListHeap.insert(DoubleDistance dist, DBIDRef id) Deprecated.
void	DoubleDistanceIntegerDBIDSortedKNNList.insert(DoubleDistance dist, DBIDRef id) Deprecated.

Method parameters in de.lmu.ifi.dbs.elki.database.ids.integer with type arguments of type DoubleDistance

Modifier and Type	Method and Description
int	DoubleDistanceIntegerDBIDPair.compareByDistance(DistanceDBIDPair<DoubleDistance> o)

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.database.query.knn

Constructor parameters in de.lmu.ifi.dbs.elki.database.query.knn with type arguments of type DoubleDistance

Constructor and Description
DoubleOptimizedDistanceKNNQuery(PrimitiveDistanceQuery<O,DoubleDistance> distanceQuery) Constructor.newDoubleDistanceHeap

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.database.query.range

Methods in de.lmu.ifi.dbs.elki.database.query.range that return types with arguments of type DoubleDistance

Modifier and Type	Method and Description
DistanceDBIDList<DoubleDistance>	DoubleOptimizedDistanceRangeQuery.getRangeForDBID(DBIDRef id, DoubleDistance range)
DistanceDBIDList<DoubleDistance>	DoubleOptimizedDistanceRangeQuery.getRangeForObject(O obj, DoubleDistance range)

Methods in de.lmu.ifi.dbs.elki.database.query.range with parameters of type DoubleDistance

Modifier and Type	Method and Description
DistanceDBIDList<DoubleDistance>	DoubleOptimizedDistanceRangeQuery.getRangeForDBID(DBIDRef id, DoubleDistance range)
DistanceDBIDList<DoubleDistance>	DoubleOptimizedDistanceRangeQuery.getRangeForObject(O obj, DoubleDistance range)

Constructor parameters in de.lmu.ifi.dbs.elki.database.query.range with type arguments of type DoubleDistance

Constructor and Description
DoubleOptimizedDistanceRangeQuery(DistanceQuery<O,DoubleDistance> distanceQuery) Constructor.

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

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	LocallyWeightedDistanceFunction.Instance.centerDistance(SpatialComparable mbr1, SpatialComparable mbr2)
DoubleDistance	SharedNearestNeighborJaccardDistanceFunction.Instance.distance(DBIDRef id1, DBIDRef id2)
DoubleDistance	LocallyWeightedDistanceFunction.Instance.distance(DBIDRef id1, DBIDRef id2) Computes the distance between two given real vectors according to this distance function.
DoubleDistance	RandomStableDistanceFunction.distance(DBIDRef o1, DBIDRef o2)
DoubleDistance	AbstractVectorDoubleDistanceFunction.distance(NumberVector<?> o1, NumberVector<?> o2)
DoubleDistance	LocallyWeightedDistanceFunction.Instance.distance(SpatialComparable mbr1, SpatialComparable mbr2)
DoubleDistance	SharedNearestNeighborJaccardDistanceFunction.getDistanceFactory()
DoubleDistance	SharedNearestNeighborJaccardDistanceFunction.Instance.getDistanceFactory()
DoubleDistance	LocallyWeightedDistanceFunction.getDistanceFactory()
DoubleDistance	AbstractVectorDoubleDistanceFunction.getDistanceFactory()
DoubleDistance	RandomStableDistanceFunction.getDistanceFactory()
DoubleDistance	AbstractSpatialDoubleDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
DoubleDistance	AbstractSpatialDoubleDistanceNorm.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
DoubleDistance	LocallyWeightedDistanceFunction.Instance.minDistBROKEN(SpatialComparable mbr, V v)
DoubleDistance	AbstractVectorDoubleDistanceNorm.norm(NumberVector<?> obj)

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

Modifier and Type	Method and Description
<T extends NumberVector<?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance>	AbstractSpatialDoubleDistanceFunction.instantiate(Relation<T> relation)
<T extends NumberVector<?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance>	AbstractSpatialDoubleDistanceNorm.instantiate(Relation<T> relation)

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	AbstractSimilarityAdapter.Instance.distance(DBIDRef id1, DBIDRef id2)
DoubleDistance	AbstractSimilarityAdapter.getDistanceFactory()
DoubleDistance	AbstractSimilarityAdapter.Instance.getDistanceFactory()

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

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

Constructor parameters in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with type arguments of type DoubleDistance

Constructor and Description
AbstractSimilarityAdapter.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<? super O,? extends NumberDistance<?,?>> similarityQuery) Constructor.
ArccosSimilarityAdapter.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<O,? extends NumberDistance<?,?>> similarityQuery) Constructor.
LinearAdapterLinear.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<? super O,? extends NumberDistance<?,?>> similarityQuery) Constructor.
LnSimilarityAdapter.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<O,? extends NumberDistance<?,?>> similarityQuery) Constructor.

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

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.external with type parameters of type DoubleDistance

Modifier and Type	Field and Description
private Map<DBIDPair,DoubleDistance>	FileBasedDoubleDistanceFunction.cache The distance cache
protected DistanceParser<DoubleDistance>	FileBasedDoubleDistanceFunction.Parameterizer.parser

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.external that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	DiskCacheBasedDoubleDistanceFunction.distance(DBIDRef id1, DBIDRef id2) Returns the distance between the two objects specified by their objects ids.
DoubleDistance	FileBasedDoubleDistanceFunction.distance(DBIDRef id1, DBIDRef id2) Returns the distance between the two objects specified by their objects ids.
DoubleDistance	DiskCacheBasedDoubleDistanceFunction.getDistanceFactory()
DoubleDistance	FileBasedDoubleDistanceFunction.getDistanceFactory()

Method parameters in de.lmu.ifi.dbs.elki.distance.distancefunction.external with type arguments of type DoubleDistance

Modifier and Type	Method and Description
private void	FileBasedDoubleDistanceFunction.loadCache(DistanceParser<DoubleDistance> parser, File matrixfile)

Constructor parameters in de.lmu.ifi.dbs.elki.distance.distancefunction.external with type arguments of type DoubleDistance

Constructor and Description
FileBasedDoubleDistanceFunction(DistanceParser<DoubleDistance> parser, File matrixfile) Constructor.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	SparseLPNormDistanceFunction.distance(SparseNumberVector<?> v1, SparseNumberVector<?> v2)
DoubleDistance	SparseLPNormDistanceFunction.getDistanceFactory()
DoubleDistance	SparseLPNormDistanceFunction.norm(SparseNumberVector<?> obj)

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.distance.distancefunction.strings

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.strings that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	NormalizedLevenshteinDistanceFunction.distance(String o1, String o2)
DoubleDistance	NormalizedLevenshteinDistanceFunction.getDistanceFactory()

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

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	AbstractDimensionsSelectingDoubleDistanceFunction.distance(V o1, V o2)
DoubleDistance	AbstractDimensionsSelectingDoubleDistanceFunction.getDistanceFactory()
DoubleDistance	DimensionSelectingDistanceFunction.getDistanceFactory()
DoubleDistance	SubspaceLPNormDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
DoubleDistance	SubspaceLPNormDistanceFunction.norm(NumberVector<?> obj)

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

Modifier and Type	Method and Description
<T extends NumberVector<?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance>	SubspaceLPNormDistanceFunction.instantiate(Relation<T> database)

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.distance.distancevalue

Fields in de.lmu.ifi.dbs.elki.distance.distancevalue declared as DoubleDistance

Modifier and Type	Field and Description
static DoubleDistance	DoubleDistance.FACTORY The static factory instance
static DoubleDistance	DoubleDistance.INFINITE_DISTANCE Infinite distance constant
static DoubleDistance	DoubleDistance.UNDEFINED_DISTANCE Undefined distance constant
static DoubleDistance	DoubleDistance.ZERO_DISTANCE Zero distance constant

Methods in de.lmu.ifi.dbs.elki.distance.distancevalue that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	DoubleDistance.fromDouble(double val)
DoubleDistance	DoubleDistance.infiniteDistance() An infinite DoubleDistance is based on Double.POSITIVE_INFINITY.
DoubleDistance	DoubleDistance.nullDistance() A null DoubleDistance is based on 0.
DoubleDistance	DoubleDistance.parseString(String val) As pattern is required a String defining a Double.
DoubleDistance	DoubleDistance.undefinedDistance() An undefined DoubleDistance is based on Double.NaN.

Methods in de.lmu.ifi.dbs.elki.distance.distancevalue with parameters of type DoubleDistance

Modifier and Type	Method and Description
int	DoubleDistance.compareTo(DoubleDistance other)

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

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	JaccardPrimitiveSimilarityFunction.distance(O o1, O o2)
DoubleDistance	JaccardPrimitiveSimilarityFunction.getDistanceFactory()
DoubleDistance	FractionalSharedNearestNeighborSimilarityFunction.getDistanceFactory()
DoubleDistance	FractionalSharedNearestNeighborSimilarityFunction.Instance.getDistanceFactory()
DoubleDistance	AbstractVectorDoubleSimilarityFunction.getDistanceFactory()
DoubleDistance	InvertedDistanceSimilarityFunction.getDistanceFactory()
DoubleDistance	FractionalSharedNearestNeighborSimilarityFunction.Instance.similarity(DBIDRef id1, DBIDRef id2)
DoubleDistance	AbstractVectorDoubleSimilarityFunction.similarity(NumberVector<?> o1, NumberVector<?> o2)
DoubleDistance	JaccardPrimitiveSimilarityFunction.similarity(O o1, O o2)
DoubleDistance	InvertedDistanceSimilarityFunction.similarity(O o1, O o2)

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

Modifier and Type	Method and Description
SimilarityFunction<? super T,DoubleDistance>	FractionalSharedNearestNeighborSimilarityFunction.Instance.getSimilarityFunction()
<T extends O> DistanceSimilarityQuery<T,DoubleDistance>	JaccardPrimitiveSimilarityFunction.instantiate(Relation<T> relation)

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	PolynomialKernelFunction.distance(NumberVector<?> fv1, NumberVector<?> fv2)

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel that return types with arguments of type DoubleDistance

Modifier and Type	Method and Description
<T extends NumberVector<?>> DistanceSimilarityQuery<T,DoubleDistance>	PolynomialKernelFunction.instantiate(Relation<T> database)

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

Constructor parameters in de.lmu.ifi.dbs.elki.index.preprocessed.knn with type arguments of type DoubleDistance

Constructor and Description
CachedDoubleDistanceKNNPreprocessor.Factory(int k, DistanceFunction<? super O,DoubleDistance> distanceFunction, File filename) Index factory.
CachedDoubleDistanceKNNPreprocessor(Relation<O> relation, DistanceFunction<? super O,DoubleDistance> distanceFunction, int k, File file) Constructor.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.localpca declared as DoubleDistance

Modifier and Type	Field and Description
private DoubleDistance	RangeQueryFilteredPCAIndex.epsilon Query epsilon.
protected DoubleDistance	RangeQueryFilteredPCAIndex.Factory.epsilon Holds the value of RangeQueryFilteredPCAIndex.Factory.EPSILON_ID.
protected DoubleDistance	RangeQueryFilteredPCAIndex.Factory.Parameterizer.epsilon

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.localpca with type parameters of type DoubleDistance

Modifier and Type	Field and Description
private KNNQuery<NV,DoubleDistance>	KNNQueryFilteredPCAIndex.knnQuery The kNN query instance we use.
protected DistanceFunction<NV,DoubleDistance>	AbstractFilteredPCAIndex.Factory.pcaDistanceFunction Holds the instance of the distance function specified by AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID.
protected DistanceFunction<NV,DoubleDistance>	AbstractFilteredPCAIndex.Factory.Parameterizer.pcaDistanceFunction Holds the instance of the distance function specified by AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID.
private RangeQuery<NV,DoubleDistance>	RangeQueryFilteredPCAIndex.rangeQuery The kNN query instance we use.

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.localpca that return types with arguments of type DoubleDistance

Modifier and Type	Method and Description
protected abstract DistanceDBIDList<DoubleDistance>	AbstractFilteredPCAIndex.objectsForPCA(DBIDRef id) Returns the objects to be considered within the PCA for the specified query object.
protected DistanceDBIDList<DoubleDistance>	RangeQueryFilteredPCAIndex.objectsForPCA(DBIDRef id)
protected KNNList<DoubleDistance>	KNNQueryFilteredPCAIndex.objectsForPCA(DBIDRef id)

Constructors in de.lmu.ifi.dbs.elki.index.preprocessed.localpca with parameters of type DoubleDistance

Constructor and Description
RangeQueryFilteredPCAIndex.Factory(DistanceFunction<V,DoubleDistance> pcaDistanceFunction, PCAFilteredRunner<V> pca, DoubleDistance epsilon) Constructor.
RangeQueryFilteredPCAIndex(Relation<NV> database, PCAFilteredRunner<NV> pca, RangeQuery<NV,DoubleDistance> rangeQuery, DoubleDistance epsilon) Constructor.

Constructor parameters in de.lmu.ifi.dbs.elki.index.preprocessed.localpca with type arguments of type DoubleDistance

Constructor and Description
AbstractFilteredPCAIndex.Factory(DistanceFunction<NV,DoubleDistance> pcaDistanceFunction, PCAFilteredRunner<NV> pca) Constructor.
KNNQueryFilteredPCAIndex.Factory(DistanceFunction<V,DoubleDistance> pcaDistanceFunction, PCAFilteredRunner<V> pca, Integer k) Constructor.
KNNQueryFilteredPCAIndex(Relation<NV> relation, PCAFilteredRunner<NV> pca, KNNQuery<NV,DoubleDistance> knnQuery, int k) Constructor.
RangeQueryFilteredPCAIndex.Factory(DistanceFunction<V,DoubleDistance> pcaDistanceFunction, PCAFilteredRunner<V> pca, DoubleDistance epsilon) Constructor.
RangeQueryFilteredPCAIndex(Relation<NV> database, PCAFilteredRunner<NV> pca, RangeQuery<NV,DoubleDistance> rangeQuery, DoubleDistance epsilon) Constructor.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.preference declared as DoubleDistance

Modifier and Type	Field and Description
static DoubleDistance	DiSHPreferenceVectorIndex.Factory.DEFAULT_EPSILON The default value for epsilon.
protected DoubleDistance[]	DiSHPreferenceVectorIndex.epsilon The epsilon value for each dimension.
protected DoubleDistance[]	DiSHPreferenceVectorIndex.Factory.epsilon The epsilon value for each dimension.
protected DoubleDistance[]	DiSHPreferenceVectorIndex.Factory.Parameterizer.epsilon The epsilon value for each dimension.

Constructors in de.lmu.ifi.dbs.elki.index.preprocessed.preference with parameters of type DoubleDistance

Constructor and Description
DiSHPreferenceVectorIndex.Factory(DoubleDistance[] epsilon, int minpts, DiSHPreferenceVectorIndex.Strategy strategy) Constructor.
DiSHPreferenceVectorIndex(Relation<V> relation, DoubleDistance[] epsilon, int minpts, DiSHPreferenceVectorIndex.Strategy strategy) Constructor.

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

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

Modifier and Type	Field and Description
protected AbstractMTree<O,DoubleDistance,?,?,?>	DoubleDistanceMetricalIndexRangeQuery.index The index to use
protected AbstractMTree<O,DoubleDistance,?,?,?>	DoubleDistanceMetricalIndexKNNQuery.index The index to use

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

Modifier and Type	Method and Description
KNNList<DoubleDistance>	DoubleDistanceMetricalIndexKNNQuery.getKNNForObject(O q, int k)
DistanceDBIDList<DoubleDistance>	DoubleDistanceMetricalIndexRangeQuery.getRangeForObject(O obj, DoubleDistance range)

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

Modifier and Type	Method and Description
DistanceDBIDList<DoubleDistance>	DoubleDistanceMetricalIndexRangeQuery.getRangeForObject(O obj, DoubleDistance range)

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

Modifier and Type	Method and Description
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.

Constructor parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query with type arguments of type DoubleDistance

Constructor and Description
DoubleDistanceMetricalIndexKNNQuery(AbstractMTree<O,DoubleDistance,?,?,?> index, DistanceQuery<O,DoubleDistance> distanceQuery, PrimitiveDoubleDistanceFunction<? super O> distf) Constructor.
DoubleDistanceMetricalIndexKNNQuery(AbstractMTree<O,DoubleDistance,?,?,?> index, DistanceQuery<O,DoubleDistance> distanceQuery, PrimitiveDoubleDistanceFunction<? super O> distf) Constructor.
DoubleDistanceMetricalIndexRangeQuery(AbstractMTree<O,DoubleDistance,?,?,?> index, DistanceQuery<O,DoubleDistance> distanceQuery, PrimitiveDoubleDistanceFunction<? super O> distf) Constructor.
DoubleDistanceMetricalIndexRangeQuery(AbstractMTree<O,DoubleDistance,?,?,?> index, DistanceQuery<O,DoubleDistance> distanceQuery, PrimitiveDoubleDistanceFunction<? super O> distf) Constructor.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.kd that return types with arguments of type DoubleDistance

Modifier and Type	Method and Description
KNNList<DoubleDistance>	MinimalisticMemoryKDTree.KDTreeKNNQuery.getKNNForObject(O obj, int k)

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.kd with parameters of type DoubleDistance

Modifier and Type	Method and Description
DoubleDistanceDBIDPairList	MinimalisticMemoryKDTree.KDTreeRangeQuery.getRangeForObject(O obj, DoubleDistance range)

Constructor parameters in de.lmu.ifi.dbs.elki.index.tree.spatial.kd with type arguments of type DoubleDistance

Constructor and Description
MinimalisticMemoryKDTree.KDTreeKNNQuery(DistanceQuery<O,DoubleDistance> distanceQuery, DoubleNorm<? super O> norm) Constructor.
MinimalisticMemoryKDTree.KDTreeRangeQuery(DistanceQuery<O,DoubleDistance> distanceQuery, DoubleNorm<? super O> norm) Constructor.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query that return types with arguments of type DoubleDistance

Modifier and Type	Method and Description
DistanceDBIDList<DoubleDistance>	DoubleDistanceRStarTreeRangeQuery.getRangeForObject(O obj, DoubleDistance range)

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

Modifier and Type	Method and Description
DistanceDBIDList<DoubleDistance>	DoubleDistanceRStarTreeRangeQuery.getRangeForObject(O obj, DoubleDistance range)

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

Constructor and Description
DoubleDistanceRStarTreeKNNQuery(AbstractRStarTree<?,?,?> tree, DistanceQuery<O,DoubleDistance> distanceQuery, SpatialPrimitiveDoubleDistanceFunction<? super O> distanceFunction) Constructor.
DoubleDistanceRStarTreeRangeQuery(AbstractRStarTree<?,?,?> tree, DistanceQuery<O,DoubleDistance> distanceQuery, SpatialPrimitiveDoubleDistanceFunction<? super O> distanceFunction) Constructor.

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

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

Modifier and Type	Method and Description
DoubleDistanceDBIDPairList	PartialVAFile.PartialVAFileRangeQuery.getRangeForObject(V query, DoubleDistance range)
DoubleDistanceDBIDPairList	VAFile.VAFileRangeQuery.getRangeForObject(V query, DoubleDistance range)

Constructor parameters in de.lmu.ifi.dbs.elki.index.vafile with type arguments of type DoubleDistance

Constructor and Description
PartialVAFile.PartialVAFileKNNQuery(DistanceQuery<V,DoubleDistance> ddq, double p, BitSet subspace) Constructor.
PartialVAFile.PartialVAFileRangeQuery(DistanceQuery<V,DoubleDistance> ddq, double p, BitSet subspace) Constructor.
VAFile.VAFileKNNQuery(DistanceQuery<V,DoubleDistance> distanceQuery, double p) Constructor.
VAFile.VAFileRangeQuery(DistanceQuery<V,DoubleDistance> distanceQuery, double p) Constructor.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type parameters of type DoubleDistance

Modifier and Type	Field and Description
private PrimitiveDistanceFunction<? super V,DoubleDistance>	WeightedCovarianceMatrixBuilder.weightDistance Holds the distance function used for weight calculation.

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

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

Modifier and Type	Method and Description
DoubleDistance	DoubleDistanceClusterOrderEntry.getReachability() Returns the reachability distance of this entry

Method parameters in de.lmu.ifi.dbs.elki.result.optics with type arguments of type DoubleDistance

Modifier and Type	Method and Description
int	DoubleDistanceClusterOrderEntry.compareTo(ClusterOrderEntry<DoubleDistance> o)

Uses of DoubleDistance in tutorial.clustering

Methods in tutorial.clustering that return DoubleDistance

Modifier and Type	Method and Description
DoubleDistance	NaiveAgglomerativeHierarchicalClustering4.getDistanceFactory()

Methods in tutorial.clustering that return types with arguments of type DoubleDistance

Modifier and Type	Method and Description
PointerHierarchyRepresentationResult<DoubleDistance>	NaiveAgglomerativeHierarchicalClustering4.run(Database db, Relation<O> relation) Run the algorithm