de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Class DimensionsSelectingEuclideanDistanceFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction<V,DoubleDistance>

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction<NumberVector<?,?>>

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction

All Implemented Interfaces:

DistanceFunction<NumberVector<?,?>,DoubleDistance>, PrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>, PrimitiveDoubleDistanceFunction<NumberVector<?,?>>, SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<NumberVector<?,?>>, InspectionUtilFrequentlyScanned, Parameterizable

public class DimensionsSelectingEuclideanDistanceFunction
extends AbstractDimensionsSelectingDoubleDistanceFunction<NumberVector<?,?>>
implements SpatialPrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DimensionsSelectingEuclideanDistanceFunction.Parameterizer Parameterization class.

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

DIMS_ID

Constructor Summary

Constructors

Constructor and Description
DimensionsSelectingEuclideanDistanceFunction(BitSet dimensions) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
DoubleDistance	centerDistance(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
double	doubleCenterDistance(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the centroids of the two given MBRs according to this distance function.
double	doubleDistance(NumberVector<?,?> v1, NumberVector<?,?> v2) Provides the Euclidean distance between two given feature vectors in the selected dimensions.
double	doubleMinDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.
protected double	doubleMinDistObject(SpatialComparable mbr, NumberVector<?,?> v)
VectorFieldTypeInformation<? super NumberVector<?,?>>	getInputTypeRestriction() Get the input data type of the function.
<T extends NumberVector<?,?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance>	instantiate(Relation<T> database) Instantiate with a database to get the actual distance query.
boolean	isMetric() Is this distance function metric (in particular, does it satisfy the triangle equation?)
DoubleDistance	minDist(SpatialComparable mbr1, SpatialComparable mbr2) Computes the distance between the two given MBRs according to this distance function.

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

distance, equals, getDistanceFactory, getSelectedDimensions, setSelectedDimensions

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

isSymmetric

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction

distance

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

getDistanceFactory, isSymmetric

Constructor Detail

DimensionsSelectingEuclideanDistanceFunction

public DimensionsSelectingEuclideanDistanceFunction(BitSet dimensions)

Constructor.

Parameters:

dimensions - Selected dimensions

Method Detail

doubleDistance

public double doubleDistance(NumberVector<?,?> v1,
                    NumberVector<?,?> v2)

Provides the Euclidean distance between two given feature vectors in the selected dimensions.

Specified by:

doubleDistance in interface PrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Parameters:

v1 - first feature vector

v2 - second feature vector

Returns:

the Euclidean distance between two given feature vectors in the selected dimensions

doubleMinDistObject

protected double doubleMinDistObject(SpatialComparable mbr,
                         NumberVector<?,?> v)

doubleMinDist

public double doubleMinDist(SpatialComparable mbr1,
                   SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDoubleDistanceFunction

Computes the distance between the two given MBRs according to this distance function.

Specified by:

doubleMinDist in interface SpatialPrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

the distance between the two given MBRs according to this distance function

doubleCenterDistance

public double doubleCenterDistance(SpatialComparable mbr1,
                          SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDoubleDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

Specified by:

doubleCenterDistance in interface SpatialPrimitiveDoubleDistanceFunction<NumberVector<?,?>>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

the distance between the centroids of the two given MBRs according to this distance function

minDist

public DoubleDistance minDist(SpatialComparable mbr1,
                     SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDistanceFunction

Computes the distance between the two given MBRs according to this distance function.

Specified by:

minDist in interface SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

the distance between the two given MBRs according to this distance function

centerDistance

public DoubleDistance centerDistance(SpatialComparable mbr1,
                            SpatialComparable mbr2)

Description copied from interface: SpatialPrimitiveDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

Specified by:

centerDistance in interface SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Parameters:

mbr1 - the first MBR object

mbr2 - the second MBR object

Returns:

the distance between the centroids of the two given MBRs according to this distance function

getInputTypeRestriction

public VectorFieldTypeInformation<? super NumberVector<?,?>> getInputTypeRestriction()

Description copied from interface: DistanceFunction

Get the input data type of the function.

Specified by:

getInputTypeRestriction in interface DistanceFunction<NumberVector<?,?>,DoubleDistance>

Specified by:

getInputTypeRestriction in interface PrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Returns:

Type restriction

isMetric

public boolean isMetric()

Description copied from interface: DistanceFunction

Is this distance function metric (in particular, does it satisfy the triangle equation?)

Specified by:

isMetric in interface DistanceFunction<NumberVector<?,?>,DoubleDistance>

Overrides:

isMetric in class AbstractPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Returns:

true when metric.

instantiate

public <T extends NumberVector<?,?>> SpatialPrimitiveDistanceQuery<T,DoubleDistance> instantiate(Relation<T> database)

Description copied from class: AbstractPrimitiveDistanceFunction

Instantiate with a database to get the actual distance query.

Specified by:

instantiate in interface DistanceFunction<NumberVector<?,?>,DoubleDistance>

Specified by:

instantiate in interface SpatialPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Overrides:

instantiate in class AbstractPrimitiveDistanceFunction<NumberVector<?,?>,DoubleDistance>

Parameters:

database - Representation

Returns:

Actual distance query.