org.aksw.limes.core.measures.measure.pointsets.mean

Class NaiveMeanMeasure

java.lang.Object

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

org.aksw.limes.core.measures.measure.pointsets.APointsetsMeasure

org.aksw.limes.core.measures.measure.pointsets.mean.NaiveMeanMeasure

All Implemented Interfaces:

IMeasure, IPointsetsMeasure

public class NaiveMeanMeasure
extends APointsetsMeasure

Brute force approach to computing the mean distance between two polygons

Version:

Jul 15, 2016

Author:

Mohamed Sherif (sherif@informatik.uni-leipzig.de)

Field Summary

Fields

Modifier and Type	Field and Description
int	computations

Fields inherited from class org.aksw.limes.core.measures.measure.pointsets.APointsetsMeasure

USE_GREAT_ELLIPTIC_DISTANCE

Constructor Summary

Constructors

Constructor and Description
NaiveMeanMeasure()

Method Summary

Modifier and Type	Method and Description
double	computeDistance(Polygon X, Polygon Y, double threshold)
static double	distance(Polygon X, Polygon Y, double threshold)
String	getName() Returns name of a measure.
double	getRuntimeApproximation(double mappingSize) Returns the runtime approximation of a measure.
double	getSimilarity(Instance instance1, Instance instance2, String property1, String property2) Returns the similarity between two instances, given their corresponding properties.
double	getSimilarity(Object object1, Object object2) Returns the similarity between two objects.
String	getType() Returns type of a measure.
AMapping	run(Set<Polygon> source, Set<Polygon> target, double threshold) Computes the SetMeasure distance for a source and target set

Methods inherited from class org.aksw.limes.core.measures.measure.pointsets.APointsetsMeasure

getComputations, pointToPointDistance

Methods inherited from class java.lang.Object

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

Field Detail

computations

public int computations

Constructor Detail

NaiveMeanMeasure

public NaiveMeanMeasure()

Method Detail

distance

public static double distance(Polygon X,
                              Polygon Y,
                              double threshold)

Parameters:

X - Polygon

Y - Polygon

threshold - of the distance

Returns:

the mean distance between X and Y

computeDistance

public double computeDistance(Polygon X,
                              Polygon Y,
                              double threshold)

getName

public String getName()

Description copied from interface: IMeasure

Returns name of a measure.

Returns:

Measure name as a string

run

public AMapping run(Set<Polygon> source,
                    Set<Polygon> target,
                    double threshold)

Computes the SetMeasure distance for a source and target set

Parameters:

source - Source polygons

target - Target polygons

threshold - Distance threshold

Returns:

Mapping of resources from Source to Target

getSimilarity

public double getSimilarity(Object object1,
                            Object object2)

Description copied from interface: IMeasure

Returns the similarity between two objects.

Specified by:

getSimilarity in interface IMeasure

Overrides:

getSimilarity in class APointsetsMeasure

Returns:

The similarity of the objects

getType

public String getType()

Description copied from interface: IMeasure

Returns type of a measure.

Returns:

The runtime of the measure

getSimilarity

public double getSimilarity(Instance instance1,
                            Instance instance2,
                            String property1,
                            String property2)

Description copied from interface: IMeasure

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

Returns:

The similarity of the instances

getRuntimeApproximation

public double getRuntimeApproximation(double mappingSize)

Description copied from interface: IMeasure

Returns the runtime approximation of a measure.

Returns:

The runtime of the measure