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

Class AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction<V>

Type Parameters:

V - the type of FeatureVector to compute the distances in between

All Implemented Interfaces:

DistanceFunction<V,DoubleDistance>, PrimitiveDistanceFunction<V,DoubleDistance>, PrimitiveDoubleDistanceFunction<V>, InspectionUtilFrequentlyScanned, Parameterizable

Direct Known Subclasses:

DimensionsSelectingEuclideanDistanceFunction

public abstract class AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>>
extends AbstractPrimitiveDistanceFunction<V,DoubleDistance>
implements PrimitiveDoubleDistanceFunction<V>

Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
private BitSet	dimensions The dimensions to be considered for distance computation.
static OptionID	DIMS_ID Dimensions parameter.

Constructor Summary

Constructors

Constructor and Description
AbstractDimensionsSelectingDoubleDistanceFunction(BitSet dimensions) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
DoubleDistance	distance(V o1, V o2) Computes the distance between two given DatabaseObjects according to this distance function.
boolean	equals(Object obj)
DoubleDistance	getDistanceFactory() Method to get the distance functions factory.
BitSet	getSelectedDimensions() Returns a bit set representing the selected dimensions.
void	setSelectedDimensions(BitSet dimensions) Sets the selected dimensions according to the set bits in the given BitSet.

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

instantiate, isMetric, 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.PrimitiveDoubleDistanceFunction

doubleDistance

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

getInputTypeRestriction

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

instantiate, isMetric, isSymmetric

Field Detail

DIMS_ID

public static final OptionID DIMS_ID

Dimensions parameter.

dimensions

private BitSet dimensions

The dimensions to be considered for distance computation.

Constructor Detail

AbstractDimensionsSelectingDoubleDistanceFunction

public AbstractDimensionsSelectingDoubleDistanceFunction(BitSet dimensions)

Constructor.

Parameters:

dimensions -

Method Detail

distance

public DoubleDistance distance(V o1,
                      V o2)

Description copied from interface: PrimitiveDistanceFunction

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

Specified by:

distance in interface PrimitiveDistanceFunction<V extends FeatureVector<?,?>,DoubleDistance>

Specified by:

distance in class AbstractPrimitiveDistanceFunction<V extends FeatureVector<?,?>,DoubleDistance>

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

getSelectedDimensions

public BitSet getSelectedDimensions()

Returns a bit set representing the selected dimensions.

Returns:

a bit set representing the selected dimensions

setSelectedDimensions

public void setSelectedDimensions(BitSet dimensions)

Sets the selected dimensions according to the set bits in the given BitSet.

Parameters:

dimensions - a BitSet designating the new selected dimensions

getDistanceFactory

public DoubleDistance getDistanceFactory()

Description copied from interface: DistanceFunction

Method to get the distance functions factory.

Specified by:

getDistanceFactory in interface DistanceFunction<V extends FeatureVector<?,?>,DoubleDistance>

Specified by:

getDistanceFactory in class AbstractPrimitiveDistanceFunction<V extends FeatureVector<?,?>,DoubleDistance>

Returns:

Factory for distance objects

equals

public boolean equals(Object obj)

Overrides:

equals in class Object