Package elki.distance.minkowski
Class WeightedLPNormDistance
- java.lang.Object
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- elki.distance.minkowski.LPNormDistance
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- elki.distance.minkowski.WeightedLPNormDistance
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- All Implemented Interfaces:
Distance<NumberVector>
,Norm<NumberVector>
,NumberVectorDistance<NumberVector>
,PrimitiveDistance<NumberVector>
,SpatialPrimitiveDistance<NumberVector>
,WeightedNumberVectorDistance<NumberVector>
- Direct Known Subclasses:
WeightedEuclideanDistance
,WeightedManhattanDistance
,WeightedMaximumDistance
public class WeightedLPNormDistance extends LPNormDistance implements WeightedNumberVectorDistance<NumberVector>
Weighted version of the Minkowski Lp norm distance forNumberVector
.Weighted Lp Norms are defined as: \[ L_{p,\vec{w}}(\vec{x},\vec{y}) := \left(\sum\nolimits_i w_i |x_i-y_i|^p\right)^{1/p} \]
- Since:
- 0.4.0
- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
WeightedLPNormDistance.Par
Parameterization class.
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Field Summary
Fields Modifier and Type Field Description protected double[]
weights
Weight array-
Fields inherited from class elki.distance.minkowski.LPNormDistance
invp, p
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Fields inherited from interface elki.distance.WeightedNumberVectorDistance
WEIGHTS_ID
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Constructor Summary
Constructors Constructor Description WeightedLPNormDistance(double p, 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
equals(java.lang.Object obj)
SimpleTypeInformation<? super NumberVector>
getInputTypeRestriction()
Get the input data type of the function.int
hashCode()
double
minDist(SpatialComparable mbr1, SpatialComparable mbr2)
Computes the distance between the two given MBRs according to this distance function.double
norm(NumberVector v)
Compute the norm of object obj.private double
preDistance(NumberVector v1, NumberVector v2, int start, int end)
private double
preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end)
private double
preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end)
private double
preNorm(NumberVector v, int start, int end)
private double
preNormMBR(SpatialComparable mbr, int start, int end)
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Methods inherited from class elki.distance.minkowski.LPNormDistance
getInvP, getP, isMetric, toString
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface elki.distance.Distance
isMetric, isSquared, isSymmetric
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Methods inherited from interface elki.distance.SpatialPrimitiveDistance
instantiate
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Method Detail
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preDistance
private double preDistance(NumberVector v1, NumberVector v2, int start, int end)
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preDistanceVM
private double preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end)
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preDistanceMBR
private double preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end)
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preNorm
private double preNorm(NumberVector v, int start, int end)
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preNormMBR
private double preNormMBR(SpatialComparable mbr, int start, int end)
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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>
- Overrides:
distance
in classLPNormDistance
- Parameters:
v1
- first DatabaseObjectv2
- second DatabaseObject- Returns:
- the distance between two given DatabaseObjects according to this distance function
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norm
public double norm(NumberVector v)
Description copied from interface:Norm
Compute the norm of object obj.- Specified by:
norm
in interfaceNorm<NumberVector>
- Overrides:
norm
in classLPNormDistance
- Parameters:
v
- Object- Returns:
- Norm
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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>
- Overrides:
minDist
in classLPNormDistance
- 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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equals
public boolean equals(java.lang.Object obj)
- Overrides:
equals
in classLPNormDistance
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hashCode
public int hashCode()
- Overrides:
hashCode
in classLPNormDistance
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getInputTypeRestriction
public SimpleTypeInformation<? super NumberVector> getInputTypeRestriction()
Description copied from interface:Distance
Get the input data type of the function.- Specified by:
getInputTypeRestriction
in interfaceDistance<NumberVector>
- Specified by:
getInputTypeRestriction
in interfacePrimitiveDistance<NumberVector>
- Overrides:
getInputTypeRestriction
in classLPNormDistance
- Returns:
- Type restriction
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