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

Packages that use DoubleDistance

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.database	Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.distance	Package collects distances and - in its subpackages - distance and similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Package collects kernel functions.
de.lmu.ifi.dbs.elki.preprocessing	Package collects preprocessors used for data preparation in a first step of various algorithms or distance measures.

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

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

(package private) DoubleDistance

ORCLUS.ProjectedEnergy.projectedEnergy

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

ORCLUS.ProjectedEnergy(int i, int j, ORCLUS.Cluster cluster, DoubleDistance projectedEnergy)

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

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

private Map<Integer,List<QueryResult<DoubleDistance>>>

PROCLUS.getLocalities(Set<Integer> m_c, Database<V> database)

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

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

static AssociationID<DoubleDistance>

AssociationID.DOUBLE_DISTANCE The association id to associate a DoubleDistance to an object.

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

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

DoubleDistance	DoubleDistance.minus(DoubleDistance distance)
DoubleDistance	DoubleDistance.plus(DoubleDistance distance)
DoubleDistance	DoubleDistance.times(double lambda) Returns a new distance as the product of this distance and the given double value.
DoubleDistance	DoubleDistance.times(DoubleDistance distance) Returns a new distance as the product of this distance and the given distance.

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

int	DoubleDistance.compareTo(DoubleDistance d) Compares this DoubleDistance with the given DoubleDistance wrt the representad double.
DoubleDistance	DoubleDistance.minus(DoubleDistance distance)
DoubleDistance	DoubleDistance.plus(DoubleDistance distance)
DoubleDistance	DoubleDistance.times(DoubleDistance distance) Returns a new distance as the product of this distance and the given distance.

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

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

private KernelFunction<O,DoubleDistance>

KernelBasedLocallyWeightedDistanceFunction.kernelFunction The kernel function that is used.

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

DoubleDistance	DimensionsSelectingEuklideanDistanceFunction.centerDistance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
DoubleDistance	EuklideanDistanceFunction.centerDistance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
DoubleDistance	DimensionSelectingDistanceFunction.centerDistance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
DoubleDistance	LocallyWeightedDistanceFunction.centerDistance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
DoubleDistance	SupportLengthDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	SharedMaximumDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	SquareRootSupportLengthDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	ReciprocalSupportDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	SharedUnitedDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	DirectSupportDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	FileBasedDoubleDistanceFunction.distance(ExternalObject o1, ExternalObject o2) Computes the distance between two given DatabaseObjects according to this distance function.
DoubleDistance	DimensionsSelectingEuklideanDistanceFunction.distance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the two given MBRs according to this distance function.
DoubleDistance	EuklideanDistanceFunction.distance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the two given MBRs according to this distance function.
DoubleDistance	DimensionSelectingDistanceFunction.distance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the two given MBRs according to this distance function.
DoubleDistance	LocallyWeightedDistanceFunction.distance(HyperBoundingBox mbr1, HyperBoundingBox mbr2) Computes the distance between the two given MBRs according to this distance function.
DoubleDistance	FileBasedDoubleDistanceFunction.distance(Integer id1, ExternalObject o2) Returns the distance between the two specified objects.
DoubleDistance	FileBasedDoubleDistanceFunction.distance(Integer id1, Integer id2) Returns the distance between the two objcts specified by their obejct ids.
DoubleDistance	KernelBasedLocallyWeightedDistanceFunction.distance(O o1, O o2) Computes the distance between two given DatabaseObjects according to this distance function.
DoubleDistance	DimensionSelectingDistanceFunction.distance(O o1, O o2) Computes the distance between two given DatabaseObjects according to this distance function.
DoubleDistance	WeightedDistanceFunction.distance(O o1, O o2) Provides the Weighted distance for feature vectors.
DoubleDistance	LocallyWeightedDistanceFunction.distance(O o1, O o2) Computes the distance between two given real vectors according to this distance function.
DoubleDistance	EuklideanDistanceFunction.distance(T rv1, T rv2) Provides the Euklidean distance between the given two vectors.
DoubleDistance	ManhattanDistanceFunction.distance(T o1, T o2)
DoubleDistance	DimensionsSelectingEuklideanDistanceFunction.distance(V v1, V v2) Provides the Euklidean distance between two given feature vectors in the selected dimensions.
DoubleDistance	CosineDistanceFunction.distance(V o1, V o2) Computes the cosine distance for two given FeatureVectors.
DoubleDistance	LPNormDistanceFunction.distance(V o1, V o2) Returns the distance between the specified FeatureVectors as a LP-Norm for the currently set p.
DoubleDistance	FractalDimensionBasedDistanceFunction.distance(V o1, V o2)
DoubleDistance	AbstractDoubleDistanceFunction.infiniteDistance() An infinite DoubleDistance is based on Double.POSITIVE_INFINITY.
DoubleDistance	FractalDimensionBasedDistanceFunction.infiniteDistance()
DoubleDistance	DimensionsSelectingEuklideanDistanceFunction.minDist(HyperBoundingBox mbr, Integer id) Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.
DoubleDistance	EuklideanDistanceFunction.minDist(HyperBoundingBox mbr, Integer id) Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.
DoubleDistance	DimensionSelectingDistanceFunction.minDist(HyperBoundingBox mbr, Integer id) Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.
DoubleDistance	LocallyWeightedDistanceFunction.minDist(HyperBoundingBox mbr, Integer id) Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.
DoubleDistance	DimensionSelectingDistanceFunction.minDist(HyperBoundingBox mbr, O o) Computes the minimum distance between the given MBR and the NumberVector object according to this distance function.
DoubleDistance	LocallyWeightedDistanceFunction.minDist(HyperBoundingBox mbr, O o) Computes the minimum distance between the given MBR and the RealVector object according to this distance function.
DoubleDistance	EuklideanDistanceFunction.minDist(HyperBoundingBox mbr, T o) Computes the minimum distance between the given MBR and the RealVector object according to this distance function.
DoubleDistance	DimensionsSelectingEuklideanDistanceFunction.minDist(HyperBoundingBox mbr, V o) Computes the minimum distance between the given MBR and the RealVector object according to this distance function.
DoubleDistance	AbstractDoubleDistanceFunction.nullDistance() A null DoubleDistance is based on 0.
DoubleDistance	FractalDimensionBasedDistanceFunction.nullDistance()
DoubleDistance	AbstractDoubleDistanceFunction.undefinedDistance() An undefined DoubleDistance is based on Double.NaN.
DoubleDistance	FractalDimensionBasedDistanceFunction.undefinedDistance()
DoubleDistance	AbstractDoubleDistanceFunction.valueOf(String pattern) As pattern is required a String defining a Double.
DoubleDistance	FractalDimensionBasedDistanceFunction.valueOf(String pattern)

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

DoubleDistance	ArbitraryKernelFunctionWrapper.distance(Integer id1, Integer id2) Returns the distance between the two objects specified by their object ids.
DoubleDistance	AbstractDoubleKernelFunction.distance(O fv1, O fv2)
DoubleDistance	ArbitraryKernelFunctionWrapper.distance(O o1, O o2) Returns the distance between the two specified objects.
DoubleDistance	AbstractDoubleKernelFunction.infiniteDistance() An infinite DoubleDistance is based on Double.POSITIVE_INFINITY.
DoubleDistance	AbstractDoubleKernelFunction.nullDistance() A null DoubleDistance is based on 0.
DoubleDistance	FooKernelFunction.similarity(O o1, O o2) Provides an experimental kernel similarity between the given two vectors.
DoubleDistance	ArbitraryKernelFunctionWrapper.similarity(O o1, O o2) Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed.
DoubleDistance	LinearKernelFunction.similarity(O o1, O o2) Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by V1^T*V2
DoubleDistance	PolynomialKernelFunction.similarity(O o1, O o2) Provides the linear kernel similarity between the given two vectors.
DoubleDistance	AbstractDoubleKernelFunction.undefinedDistance() An undefined DoubleDistance is based on Double.NaN.
DoubleDistance	AbstractDoubleKernelFunction.valueOf(String pattern) As pattern is required a String defining a Double.

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

KernelMatrix(KernelFunction<O,DoubleDistance> kernelFunction, Database<O> database)
Provides a new kernel matrix.

KernelMatrix(KernelFunction<O,DoubleDistance> kernelFunction, Database<O> database, List<Integer> ids)
Provides a new kernel matrix.

Uses of DoubleDistance in de.lmu.ifi.dbs.elki.preprocessing

Fields in de.lmu.ifi.dbs.elki.preprocessing declared as DoubleDistance

static DoubleDistance	DiSHPreprocessor.DEFAULT_EPSILON The default value for epsilon.
private DoubleDistance[]	DiSHPreprocessor.epsilon The epsilon value for each dimension;

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

protected DistanceFunction<V,DoubleDistance>

HiCOPreprocessor.pcaDistanceFunction The distance function for the PCA.

Methods in de.lmu.ifi.dbs.elki.preprocessing that return DoubleDistance

DoubleDistance[]

DiSHPreprocessor.getEpsilon() Returns the value of the epsilon parameter.