Package org.aksw.limes.core.measures.measure.space

Class EuclideanMeasure

java.lang.Object

org.aksw.limes.core.measures.measure.AMeasure

org.aksw.limes.core.measures.measure.space.ASpaceMeasure

org.aksw.limes.core.measures.measure.space.EuclideanMeasure

All Implemented Interfaces:

IMeasure, ISpaceMeasure

public class EuclideanMeasure
extends ASpaceMeasure

Implements a similarity measure based on the euclidean distance. A Minkowski measure with p=1.

Author:

Axel-C. Ngonga Ngomo (ngonga@informatik.uni-leipzig.de)

Field Summary

Fields inherited from class org.aksw.limes.core.measures.measure.space.ASpaceMeasure

D2R, radius

Constructor Summary

Constructors

Constructor	Description
EuclideanMeasure()

Method Summary

Modifier and Type	Method	Description
String	getName()	Returns name of a measure.
double	getRuntimeApproximation(double mappingSize)	Returns the runtime approximation of a measure.
double	getSimilarity(Object object1, Object object2)	Returns the similarity between two objects.
double	getSimilarity(Instance instance1, Instance instance2, String properties1, String properties2)	Returns the similarity between two instances, given their corresponding properties.
double	getThreshold(int dimension, double simThreshold)	Return the threshold for a dimension.
String	getType()	Returns type of a measure.

Methods inherited from class org.aksw.limes.core.measures.measure.space.ASpaceMeasure

setDimension

Methods inherited from class java.lang.Object

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

Constructor Detail

EuclideanMeasure

public EuclideanMeasure()

Method Detail

getName

public String getName()

Description copied from interface: IMeasure

Returns name of a measure.

Returns:

Measure name as a string

getThreshold

public double getThreshold(int dimension,
                           double simThreshold)

Return the threshold for a dimension. This is used for blocking. Given that the Euclidean metric does not squeeze space as the Mahalanobis does, we simply return the simThreshold

Parameters:

dimension -

simThreshold -

getRuntimeApproximation

public double getRuntimeApproximation(double mappingSize)

Description copied from interface: IMeasure

Returns the runtime approximation of a measure.

Parameters:

mappingSize - , the mapping size returned by the measure

Returns:

The runtime of the measure

getType

public String getType()

Description copied from interface: IMeasure

Returns type of a measure.

Returns:

The runtime of the measure

getSimilarity

public double getSimilarity(Object object1,
                            Object object2)

Description copied from interface: IMeasure

Returns the similarity between two objects.

Parameters:

object1 - , the source object

object2 - , the target object

Returns:

The similarity of the objects

getSimilarity

public double getSimilarity(Instance instance1,
                            Instance instance2,
                            String properties1,
                            String properties2)

Description copied from interface: IMeasure

Returns the similarity between two instances, given their corresponding properties.

Parameters:

instance1 - , the source instance

instance2 - , the target instance

properties1 - , the source property

properties2 - , the target property

Returns:

The similarity of the instances