Package elki.distance
Class WeightedCanberraDistance
- java.lang.Object
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- elki.distance.AbstractNumberVectorDistance
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- elki.distance.WeightedCanberraDistance
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- All Implemented Interfaces:
Distance<NumberVector>
,NumberVectorDistance<NumberVector>
,PrimitiveDistance<NumberVector>
,SpatialPrimitiveDistance<NumberVector>
,WeightedNumberVectorDistance<NumberVector>
public class WeightedCanberraDistance extends AbstractNumberVectorDistance implements SpatialPrimitiveDistance<NumberVector>, WeightedNumberVectorDistance<NumberVector>
Weighted Canberra distance function, a variation of Manhattan distance.- Since:
- 0.5.0
- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
WeightedCanberraDistance.Par
Parameterization class.
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Field Summary
Fields Modifier and Type Field Description protected double[]
weights
Weight array-
Fields inherited from interface elki.distance.WeightedNumberVectorDistance
WEIGHTS_ID
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Constructor Summary
Constructors Constructor Description WeightedCanberraDistance(double[] weights)
Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
distance(NumberVector v1, NumberVector v2)
Computes the distance between two given DatabaseObjects according to this distance function.boolean
isMetric()
Is this distance function metric (satisfy the triangle inequality)double
minDist(SpatialComparable mbr1, SpatialComparable mbr2)
Computes the distance between the two given MBRs according to this distance function.-
Methods inherited from class elki.distance.AbstractNumberVectorDistance
dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, getInputTypeRestriction
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface elki.distance.Distance
isSquared, isSymmetric
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Methods inherited from interface elki.distance.PrimitiveDistance
getInputTypeRestriction
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Methods inherited from interface elki.distance.SpatialPrimitiveDistance
instantiate
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Method Detail
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distance
public double distance(NumberVector v1, NumberVector v2)
Description copied from interface:PrimitiveDistance
Computes the distance between two given DatabaseObjects according to this distance function.- Specified by:
distance
in interfaceNumberVectorDistance<NumberVector>
- Specified by:
distance
in interfacePrimitiveDistance<NumberVector>
- Parameters:
v1
- first DatabaseObjectv2
- second DatabaseObject- Returns:
- the distance between two given DatabaseObjects according to this distance function
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minDist
public double minDist(SpatialComparable mbr1, SpatialComparable mbr2)
Description copied from interface:SpatialPrimitiveDistance
Computes the distance between the two given MBRs according to this distance function.- Specified by:
minDist
in interfaceSpatialPrimitiveDistance<NumberVector>
- Parameters:
mbr1
- the first MBR objectmbr2
- the second MBR object- Returns:
- the distance between the two given MBRs according to this distance function
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isMetric
public boolean isMetric()
Description copied from interface:Distance
Is this distance function metric (satisfy the triangle inequality)- Specified by:
isMetric
in interfaceDistance<NumberVector>
- Returns:
true
when metric.
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