Uses of Interface
de.lmu.ifi.dbs.elki.data.spatial.SpatialComparable

Packages that use SpatialComparable

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash	Helper classes for the CASH algorithm.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.spatial	Spatial data types - interfaces and utilities.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.data.uncertain	Uncertain data objects.
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances.
de.lmu.ifi.dbs.elki.database.relation	Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.geo	Geographic (earth) distance functions.
de.lmu.ifi.dbs.elki.distance.distancefunction.histogram	Distance functions for one-dimensional histograms.
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.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants	R*-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu	DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk	Packages for bulk-loading R*-Trees.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert	Insertion strategies for R-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert	Reinsertion strategies for R-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split	Splitting strategies for R-Trees
de.lmu.ifi.dbs.elki.math.linearalgebra	Linear Algebra package provides classes and computational methods for operations on matrices.
de.lmu.ifi.dbs.elki.math.scales	Scales handling for plotting.
de.lmu.ifi.dbs.elki.math.spacefillingcurves	Space filling curves.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.visualization.projector	Projectors are responsible for finding appropriate projections for data relations.
de.lmu.ifi.dbs.elki.visualization.svg	Base SVG functionality (generation, markers, thumbnails, export, ...).

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

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash that implement SpatialComparable

Modifier and Type	Class and Description
class	CASHInterval Provides a unique interval represented by its id, a hyper bounding box representing the alpha intervals, an interval of the corresponding distance, and a set of objects ids associated with this interval.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.lof with type parameters of type SpatialComparable

Modifier and Type	Class and Description
class	VarianceOfVolume<O extends SpatialComparable> Variance of Volume for outlier detection.
static class	VarianceOfVolume.Parameterizer<O extends SpatialComparable> Parameterization class.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.data

Subinterfaces of SpatialComparable in de.lmu.ifi.dbs.elki.data

Modifier and Type	Interface and Description
interface	NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
interface	SparseNumberVector Combines the SparseFeatureVector and NumberVector.

Classes in de.lmu.ifi.dbs.elki.data that implement SpatialComparable

Modifier and Type	Class and Description
class	AbstractNumberVector AbstractNumberVector is an abstract implementation of FeatureVector.
class	BitVector Vector using a dense bit set encoding, based on long[] storage.
class	ByteVector Vector using byte[] storage.
class	DoubleVector Vector type using double[] storage for real numbers.
class	FloatVector Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
class	HyperBoundingBox HyperBoundingBox represents a hyperrectangle in the multidimensional space.
class	IntegerVector Vector type using int[] storage.
class	ModifiableHyperBoundingBox MBR class allowing modifications (as opposed to HyperBoundingBox).
class	OneDimensionalDoubleVector Specialized class implementing a one-dimensional double vector without using an array.
class	ShortVector Vector type using short[] storage.
class	SparseByteVector Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
class	SparseDoubleVector Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
class	SparseFloatVector Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
class	SparseIntegerVector Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.
class	SparseShortVector Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.

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

Modifier and Type	Method and Description
boolean	ModifiableHyperBoundingBox.extend(SpatialComparable obj) Extend the bounding box by some other spatial object.
static double	VectorUtil.minCosAngle(SpatialComparable v1, SpatialComparable v2) Compute the minimum angle between two rectangles.

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

Constructor and Description
HyperBoundingBox(SpatialComparable other) Constructor, cloning an existing spatial object.
ModifiableHyperBoundingBox(SpatialComparable hbb) Derive a bounding box from a spatial object.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.data.spatial

Classes in de.lmu.ifi.dbs.elki.data.spatial that implement SpatialComparable

Modifier and Type	Class and Description
class	Polygon Class representing a simple polygon.
class	PolygonsObject Object representation consisting of (multiple) polygons.

Methods in de.lmu.ifi.dbs.elki.data.spatial with type parameters of type SpatialComparable

Modifier and Type	Method and Description
static <E extends SpatialComparable,A> double[]	SpatialUtil.unionFlatMBR(A data, ArrayAdapter<E,? super A> getter) Compute the union of a number of objects as a flat MBR (low-level, for index structures).

Methods in de.lmu.ifi.dbs.elki.data.spatial with parameters of type SpatialComparable

Modifier and Type	Method and Description
static int	SpatialUtil.assertSameDimensionality(SpatialComparable box1, SpatialComparable box2) Check that two spatial objects have the same dimensionality.
static double[]	SpatialUtil.centroid(SpatialComparable obj) Returns the centroid of this SpatialComparable.
int	SpatialSingleMinComparator.compare(SpatialComparable o1, SpatialComparable o2)
int	SpatialSingleMeanComparator.compare(SpatialComparable o1, SpatialComparable o2)
int	SpatialSingleMaxComparator.compare(SpatialComparable o1, SpatialComparable o2)
static boolean	SpatialUtil.contains(SpatialComparable box, double[] point) Returns true if this SpatialComparable contains the given point, false otherwise.
static boolean	SpatialUtil.contains(SpatialComparable box1, SpatialComparable box2) Returns true if the first SpatialComparable contains the second SpatialComparable, false otherwise.
static double	SpatialUtil.enlargement(SpatialComparable exist, SpatialComparable addit) Compute the enlargement obtained by adding an object to an existing object.
static double	SpatialUtil.enlargementScaled(SpatialComparable exist, SpatialComparable addit, double scale) Compute the enlargement obtained by adding an object to an existing object.
static boolean	SpatialUtil.equals(SpatialComparable box1, SpatialComparable box2) Test two SpatialComparables for equality.
static double[]	SpatialUtil.getMax(SpatialComparable box) Returns a clone of the maximum hyper point.
static double[]	SpatialUtil.getMin(SpatialComparable box) Returns a clone of the minimum hyper point.
static ModifiableHyperBoundingBox	SpatialUtil.intersection(SpatialComparable box1, SpatialComparable box2) Calculate the intersection of the two MBRs or null if they do not intersect.
static boolean	SpatialUtil.intersects(SpatialComparable box1, SpatialComparable box2) Returns true if the two SpatialComparables intersect, false otherwise.
static double	SpatialUtil.overlap(SpatialComparable box1, SpatialComparable box2) Computes the volume of the overlapping box between two SpatialComparables.
static double	SpatialUtil.perimeter(SpatialComparable box) Computes the perimeter of this SpatialComparable.
static double	SpatialUtil.relativeOverlap(SpatialComparable box1, SpatialComparable box2) Computes the volume of the overlapping box between two SpatialComparables and return the relation between the volume of the overlapping box and the volume of both SpatialComparable.
static ModifiableHyperBoundingBox	SpatialUtil.union(SpatialComparable box1, SpatialComparable box2) Computes the union HyperBoundingBox of two SpatialComparables.
static ModifiableHyperBoundingBox	SpatialUtil.unionTolerant(SpatialComparable mbr1, SpatialComparable mbr2) Returns the union of the two specified MBRs.
static double	SpatialUtil.volume(SpatialComparable box) Computes the volume of this SpatialComparable.
static double	SpatialUtil.volumeScaled(SpatialComparable box, double scale) Computes the volume of this SpatialComparable.
static double	SpatialUtil.volumeUnion(SpatialComparable box1, SpatialComparable box2) Compute the volume (area) of the union of two MBRs.
static double	SpatialUtil.volumeUnionScaled(SpatialComparable box1, SpatialComparable box2, double scale) Compute the volume (area) of the union of two MBRs.

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

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

Modifier and Type	Field and Description
static SimpleTypeInformation<SpatialComparable>	TypeUtil.SPATIAL_OBJECT Spatial objects.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.data.uncertain

Subinterfaces of SpatialComparable in de.lmu.ifi.dbs.elki.data.uncertain

Modifier and Type	Interface and Description
interface	DiscreteUncertainObject Interface for discrete uncertain objects, that are represented by a finite (possibly weighted) number of samples.
interface	UncertainObject Interface for uncertain objects.

Classes in de.lmu.ifi.dbs.elki.data.uncertain that implement SpatialComparable

Modifier and Type	Class and Description
class	AbstractUncertainObject Abstract base implementation for UncertainObjects, providing shared functionality such as bounding box access and random generation.
class	SimpleGaussianContinuousUncertainObject Gaussian model for uncertain objects, sampled from a 3-sigma bounding box.
class	UniformContinuousUncertainObject Continuous uncertain object model using a uniform distribution on the bounding box.
class	UnweightedDiscreteUncertainObject Unweighted implementation of discrete uncertain objects.
class	WeightedDiscreteUncertainObject Weighted version of discrete uncertain objects.

Fields in de.lmu.ifi.dbs.elki.data.uncertain declared as SpatialComparable

Modifier and Type	Field and Description
protected SpatialComparable	AbstractUncertainObject.bounds Bounding box of the object.

Constructors in de.lmu.ifi.dbs.elki.data.uncertain with parameters of type SpatialComparable

Constructor and Description
SimpleGaussianContinuousUncertainObject(SpatialComparable bounds) Constructor.
UniformContinuousUncertainObject(SpatialComparable bounds) Constructor.

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

Classes in de.lmu.ifi.dbs.elki.database.query.distance with type parameters of type SpatialComparable

Modifier and Type	Interface and Description
interface	SpatialDistanceQuery<V extends SpatialComparable> Query interface for spatial distance queries.
class	SpatialPrimitiveDistanceQuery<V extends SpatialComparable> Distance query for spatial distance functions

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

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

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

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

Modifier and Type	Method and Description
static <V extends SpatialComparable> String	RelationUtil.getColumnLabel(Relation<? extends V> rel, int col) Get the column name or produce a generic label "Column XY".

Method parameters in de.lmu.ifi.dbs.elki.database.relation with type arguments of type SpatialComparable

Modifier and Type	Method and Description
static int	RelationUtil.dimensionality(Relation<? extends SpatialComparable> relation) Get the dimensionality of a database relation.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction with type parameters of type SpatialComparable

Modifier and Type	Interface and Description
interface	SpatialPrimitiveDistanceFunction<V extends SpatialComparable> API for a spatial primitive distance function.

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

Modifier and Type	Method and Description
static int	AbstractNumberVectorDistanceFunction.dimensionality(SpatialComparable o1, SpatialComparable o2) Get the common dimensionality of the two objects.
static int	AbstractNumberVectorDistanceFunction.dimensionality(SpatialComparable o1, SpatialComparable o2, int expect) Get the common dimensionality of the two objects.
double	WeightedCanberraDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	SpatialPrimitiveDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
double	LorentzianDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	Kulczynski1DistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	CosineDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	ClarkDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	CanberraDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	BrayCurtisDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	ArcCosineDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

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

Modifier and Type	Method and Description
double	HistogramIntersectionDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.distance.distancefunction.geo

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

Modifier and Type	Method and Description
double	LngLatDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	LatLngDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	DimensionSelectingLatLngDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.distance.distancefunction.histogram

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

Modifier and Type	Method and Description
double	HistogramMatchDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)

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

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

Modifier and Type	Method and Description
double	EuclideanDistanceFunction.maxDist(SpatialComparable mbr1, SpatialComparable mbr2) Maximum distance of two objects.
double	WeightedSquaredEuclideanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	WeightedMaximumDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	WeightedManhattanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	WeightedLPNormDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	WeightedEuclideanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	SquaredEuclideanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	MinimumDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	MaximumDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	ManhattanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	LPNormDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	LPIntegerNormDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	EuclideanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
private double	WeightedMaximumDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	WeightedManhattanDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	WeightedLPNormDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	WeightedEuclideanDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	SquaredEuclideanDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	MaximumDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	ManhattanDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	LPNormDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg) Compute unscaled distance in a range of dimensions.
private double	LPIntegerNormDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	EuclideanDistanceFunction.preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end, double agg)
private double	WeightedMaximumDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	WeightedManhattanDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	WeightedLPNormDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	WeightedEuclideanDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	SquaredEuclideanDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	MaximumDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	ManhattanDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	LPNormDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg) Compute unscaled distance in a range of dimensions.
private double	LPIntegerNormDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	EuclideanDistanceFunction.preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end, double agg)
private double	WeightedMaximumDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	WeightedManhattanDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	WeightedLPNormDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	WeightedEuclideanDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	SquaredEuclideanDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	MaximumDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	ManhattanDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	LPNormDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg) Compute unscaled norm in a range of dimensions.
private double	LPIntegerNormDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)
private double	EuclideanDistanceFunction.preNormMBR(SpatialComparable mbr, int start, int end, double agg)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

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

Modifier and Type	Method and Description
double	JensenShannonDivergenceDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	JeffreyDivergenceDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	ChiSquaredDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)

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

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

Modifier and Type	Method and Description
double	SubspaceMaximumDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	SubspaceManhattanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	SubspaceLPNormDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	SubspaceEuclideanDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
double	OnedimensionalDistanceFunction.minDist(SpatialComparable mbr1, SpatialComparable mbr2)
protected double	SubspaceMaximumDistanceFunction.minDistObject(SpatialComparable mbr, NumberVector v)
protected double	SubspaceManhattanDistanceFunction.minDistObject(SpatialComparable mbr, NumberVector v)
protected double	SubspaceLPNormDistanceFunction.minDistObject(SpatialComparable mbr, NumberVector v)
protected double	SubspaceEuclideanDistanceFunction.minDistObject(SpatialComparable mbr, NumberVector v)

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

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial with type parameters of type SpatialComparable

Modifier and Type	Class and Description
class	SpatialPair<K,V extends SpatialComparable> Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.

Subinterfaces of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial

Modifier and Type	Interface and Description
interface	SpatialEntry Defines the requirements for an entry in a node of a Spatial Index.

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial that implement SpatialComparable

Modifier and Type	Class and Description
class	SpatialDirectoryEntry Represents an entry in a directory node of a spatial index.
class	SpatialPair<K,V extends SpatialComparable> Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.
class	SpatialPointLeafEntry Represents an entry in a leaf node of a spatial index.

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

Modifier and Type	Method and Description
boolean	SpatialDirectoryEntry.extendMBR(SpatialComparable responsibleMBR) Extend the MBR of this node.

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

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

Modifier and Type	Method and Description
boolean	AbstractRStarTreeNode.adjustEntryIncremental(E entry, SpatialComparable responsibleMBR) Adjusts the parameters of the entry representing this node.
protected IndexTreePath<E>	AbstractRStarTree.choosePath(IndexTreePath<E> subtree, SpatialComparable mbr, int depth, int cur) Chooses the best path of the specified subtree for insertion of the given mbr at the specified level.
protected IndexTreePath<E>	AbstractRStarTree.containedTest(IndexTreePath<E> subtree, N node, SpatialComparable mbr) Test on whether or not any child of node contains mbr.
protected IndexTreePath<E>	AbstractRStarTree.findPathToObject(IndexTreePath<E> subtree, SpatialComparable mbr, DBIDRef id) Returns the path to the leaf entry in the specified subtree that represents the data object with the specified mbr and id.

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

Subinterfaces of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu

Modifier and Type	Interface and Description
interface	DeLiCluEntry Defines the requirements for an entry in an DeLiClu-Tree node.

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu that implement SpatialComparable

Modifier and Type	Class and Description
class	DeLiCluDirectoryEntry Defines the requirements for a directory entry in an DeLiClu-Tree node.
class	DeLiCluLeafEntry Defines the requirements for a leaf entry in an DeLiClu-Tree node.

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

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

Modifier and Type	Class and Description
class	RStarTreeKNNQuery<O extends SpatialComparable> Instance of a KNN query for a particular spatial index.
class	RStarTreeRangeQuery<O extends SpatialComparable> Instance of a range query for a particular spatial index.

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

Modifier and Type	Method and Description
static <O extends SpatialComparable> KNNQuery<O>	RStarTreeUtil.getKNNQuery(AbstractRStarTree<?,?,?> tree, SpatialDistanceQuery<O> distanceQuery, Object... hints) Get an RTree knn query, using an optimized double implementation when possible.
static <O extends SpatialComparable> RangeQuery<O>	RStarTreeUtil.getRangeQuery(AbstractRStarTree<?,?,?> tree, SpatialDistanceQuery<O> distanceQuery, Object... hints) Get an RTree range query, using an optimized double implementation when possible.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Subinterfaces of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Modifier and Type	Interface and Description
(package private) interface	RdKNNEntry Defines the requirements for an entry in an RdKNN-Tree node.

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn that implement SpatialComparable

Modifier and Type	Class and Description
class	RdKNNDirectoryEntry Represents an entry in a directory node of an RdKNN-Tree.
class	RdKNNLeafEntry Represents an entry in a leaf node of an RdKNN-Tree.

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

Modifier and Type	Method and Description
protected List<DoubleObjPair<RdKNNEntry>>	RdKNNTree.getSortedEntries(AbstractRStarTreeNode<?,?> node, SpatialComparable q, SpatialPrimitiveDistanceFunction<?> distanceFunction) Sorts the entries of the specified node according to their minimum distance to the specified object.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk with type parameters of type SpatialComparable

Modifier and Type	Method and Description
<N extends SpatialComparable> List<List<N>>	MaxExtensionBulkSplit.partition(List<N> spatialObjects, int minEntries, int maxEntries) Partitions the specified feature vectors where the split axes are the dimensions with maximum extension.
<T extends SpatialComparable> List<List<T>>	SpatialSortBulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries)
<T extends SpatialComparable> List<List<T>>	SortTileRecursiveBulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries)
<T extends SpatialComparable> List<List<T>>	OneDimSortBulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries)
<T extends SpatialComparable> List<List<T>>	MaxExtensionSortTileRecursiveBulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries)
<T extends SpatialComparable> List<List<T>>	FileOrderBulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries)
<T extends SpatialComparable> List<List<T>>	BulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries) Partitions the specified feature vectors
<T extends SpatialComparable> List<List<T>>	AdaptiveSortTileRecursiveBulkSplit.partition(List<T> spatialObjects, int minEntries, int maxEntries)
protected <T extends SpatialComparable> void	SortTileRecursiveBulkSplit.strPartition(List<T> objs, int start, int end, int depth, int dims, int maxEntries, SpatialSingleMeanComparator c, List<List<T>> ret) Recursively partition.
protected <T extends SpatialComparable> void	MaxExtensionSortTileRecursiveBulkSplit.strPartition(List<T> objs, int start, int end, int depth, int dims, int maxEntries, SpatialSingleMeanComparator c, List<List<T>> ret) Recursively partition.
protected <T extends SpatialComparable> void	AdaptiveSortTileRecursiveBulkSplit.strPartition(List<T> objs, int start, int end, int depth, int dims, int maxEntries, SpatialSingleMeanComparator c, List<List<T>> ret) Recursively partition.

Method parameters in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk with type arguments of type SpatialComparable

Modifier and Type	Method and Description
private int	MaxExtensionBulkSplit.chooseMaximalExtendedSplitAxis(List<? extends SpatialComparable> objects) Computes and returns the best split axis.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert with parameters of type SpatialComparable

Modifier and Type	Method and Description
<A> int	LeastOverlapInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	LeastEnlargementWithAreaInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	LeastEnlargementInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	InsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth) Choose insertion rectangle.
<A> int	CombinedInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	ApproximativeLeastOverlapInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)

Method parameters in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert with type arguments of type SpatialComparable

Modifier and Type	Method and Description
<A> int	LeastOverlapInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	LeastEnlargementWithAreaInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	LeastEnlargementInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	InsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth) Choose insertion rectangle.
<A> int	CombinedInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)
<A> int	ApproximativeLeastOverlapInsertionStrategy.choose(A options, ArrayAdapter<? extends SpatialComparable,A> getter, SpatialComparable obj, int height, int depth)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert with parameters of type SpatialComparable

Modifier and Type	Method and Description
<A> int[]	ReinsertStrategy.computeReinserts(A entries, ArrayAdapter<? extends SpatialComparable,? super A> getter, SpatialComparable page) Perform reinsertions.
<A> int[]	FarReinsert.computeReinserts(A entries, ArrayAdapter<? extends SpatialComparable,? super A> getter, SpatialComparable page)
<A> int[]	CloseReinsert.computeReinserts(A entries, ArrayAdapter<? extends SpatialComparable,? super A> getter, SpatialComparable page)

Method parameters in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert with type arguments of type SpatialComparable

Modifier and Type	Method and Description
<A> int[]	ReinsertStrategy.computeReinserts(A entries, ArrayAdapter<? extends SpatialComparable,? super A> getter, SpatialComparable page) Perform reinsertions.
<A> int[]	FarReinsert.computeReinserts(A entries, ArrayAdapter<? extends SpatialComparable,? super A> getter, SpatialComparable page)
<A> int[]	CloseReinsert.computeReinserts(A entries, ArrayAdapter<? extends SpatialComparable,? super A> getter, SpatialComparable page)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split with type parameters of type SpatialComparable

Modifier and Type	Class and Description
private class	TopologicalSplitter.Split<A,E extends SpatialComparable> Internal data for an actual split.

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split with type parameters of type SpatialComparable

Modifier and Type	Method and Description
protected <E extends SpatialComparable,A> double	AngTanLinearSplit.computeOverlap(A entries, ArrayAdapter<E,A> getter, long[] assign) Compute overlap of assignment
<E extends SpatialComparable,A> long[]	TopologicalSplitter.split(A entries, ArrayAdapter<E,A> getter, int minEntries)
<E extends SpatialComparable,A> long[]	SplitStrategy.split(A entries, ArrayAdapter<E,A> getter, int minEntries) Split a page
<E extends SpatialComparable,A> long[]	RTreeQuadraticSplit.split(A entries, ArrayAdapter<E,A> getter, int minEntries)
<E extends SpatialComparable,A> long[]	RTreeLinearSplit.split(A entries, ArrayAdapter<E,A> getter, int minEntries)
<E extends SpatialComparable,A> long[]	GreeneSplit.split(A entries, ArrayAdapter<E,A> getter, int minEntries)
<E extends SpatialComparable,A> long[]	AngTanLinearSplit.split(A entries, ArrayAdapter<E,A> getter, int minEntries)

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.math.linearalgebra

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra that implement SpatialComparable

Modifier and Type	Class and Description
class	Centroid Class to compute the centroid of some data.
class	ProjectedCentroid Centroid only using a subset of dimensions.
class	Vector A mathematical vector object, along with mathematical operations.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.math.scales

Method parameters in de.lmu.ifi.dbs.elki.math.scales with type arguments of type SpatialComparable

Modifier and Type	Method and Description
static LinearScale[]	Scales.calcScales(Relation<? extends SpatialComparable> db) Compute a linear scale for each dimension.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.math.spacefillingcurves

Classes in de.lmu.ifi.dbs.elki.math.spacefillingcurves with type parameters of type SpatialComparable

Modifier and Type	Class and Description
private static class	HilbertSpatialSorter.HilbertRef<T extends SpatialComparable> Object used in spatial sorting, combining the spatial object and the object ID.

Fields in de.lmu.ifi.dbs.elki.math.spacefillingcurves declared as SpatialComparable

Modifier and Type	Field and Description
protected T	HilbertSpatialSorter.HilbertRef.vec The referenced object.

Methods in de.lmu.ifi.dbs.elki.math.spacefillingcurves with type parameters of type SpatialComparable

Modifier and Type	Method and Description
private <T extends SpatialComparable> void	BinarySplitSpatialSorter.binarySplitSort(List<T> objs, int start, int end, int depth, int numdim, int[] dims, SpatialSingleMeanComparator comp) Sort the array using a binary split in dimension curdim, then recurse with the next dimension.
protected <T extends SpatialComparable> void	PeanoSpatialSorter.peanoSort(List<T> objs, int start, int end, double[] mms, int[] dims, int depth, long[] bits, boolean desc) Sort by Peano curve.
protected <T extends SpatialComparable> int	AbstractSpatialSorter.pivotizeList1D(List<T> objs, int start, int end, int dim, double threshold, boolean desc) "Pivotize" the list, such that all elements before the given position are less than, all elements after the position are larger than the threshold value in the given dimension.
<T extends SpatialComparable> void	SpatialSorter.sort(List<T> objs) Partitions the specified feature vectors
<T extends SpatialComparable> void	AbstractSpatialSorter.sort(List<T> objs)
<T extends SpatialComparable> void	ZCurveSpatialSorter.sort(List<T> objs, int start, int end, double[] minmax, int[] dims)
<T extends SpatialComparable> void	SpatialSorter.sort(List<T> objs, int start, int end, double[] minmax, int[] dims) Sort part of the list (start to end).
<T extends SpatialComparable> void	PeanoSpatialSorter.sort(List<T> objs, int start, int end, double[] minmax, int[] dims)
<T extends SpatialComparable> void	HilbertSpatialSorter.sort(List<T> objs, int start, int end, double[] minmax, int[] dims)
<T extends SpatialComparable> void	BinarySplitSpatialSorter.sort(List<T> objs, int start, int end, double[] minmax, int[] dims)
protected <T extends SpatialComparable> void	ZCurveSpatialSorter.zSort(List<T> objs, int start, int end, double[] mms, int[] dims, int depth) The actual Z sorting function

Method parameters in de.lmu.ifi.dbs.elki.math.spacefillingcurves with type arguments of type SpatialComparable

Modifier and Type	Method and Description
static double[]	AbstractSpatialSorter.computeMinMax(List<? extends SpatialComparable> objs) Compute the minimum and maximum for each dimension.
private double	AbstractSpatialSorter.getMinPlusMaxObject(List<? extends SpatialComparable> objs, int s, int dim) Compute getMin(dim) + getMax(dim) for the spatial object.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.result

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

Modifier and Type	Method and Description
static ScalesResult	ResultUtil.getScalesResult(Relation<? extends SpatialComparable> rel) Get (or create) a scales result for a relation.

Constructor parameters in de.lmu.ifi.dbs.elki.result with type arguments of type SpatialComparable

Constructor and Description
ScalesResult(Relation<? extends SpatialComparable> relation) Constructor.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.visualization.projector

Classes in de.lmu.ifi.dbs.elki.visualization.projector with type parameters of type SpatialComparable

Modifier and Type	Class and Description
class	ParallelPlotProjector<V extends SpatialComparable> ParallelPlotProjector is responsible for producing a parallel axes visualization.
class	ScatterPlotProjector<V extends SpatialComparable> ScatterPlotProjector is responsible for producing a set of scatterplot visualizations.

Uses of SpatialComparable in de.lmu.ifi.dbs.elki.visualization.svg

Methods in de.lmu.ifi.dbs.elki.visualization.svg with parameters of type SpatialComparable

Modifier and Type	Method and Description
static Element	SVGHyperCube.drawFilled(SVGPlot svgp, String cls, Projection2D proj, SpatialComparable box) Filled hypercube.
static Element	SVGHyperCube.drawFrame(SVGPlot svgp, Projection2D proj, SpatialComparable box) Wireframe hypercube.
private static ArrayList<double[]>	SVGHyperCube.getVisibleEdges(Projection2D proj, SpatialComparable box) Get the visible (non-0) edges of a hypercube