@Alias(value={"taxicab","cityblock","l1","de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction"}) public class ManhattanDistanceFunction extends LPIntegerNormDistanceFunction
NumberVector
s.
Manhattan distance is defined as: \[ \text{Manhattan}(\vec{x},\vec{y}) := \sum_i |x_i-y_i| \]
Modifier and Type | Class and Description |
---|---|
static class |
ManhattanDistanceFunction.Parameterizer
Parameterization class.
|
Modifier and Type | Field and Description |
---|---|
static ManhattanDistanceFunction |
STATIC
The static instance to use.
|
intp
invp, p
Constructor and Description |
---|
ManhattanDistanceFunction()
Deprecated.
Use static instance!
|
Modifier and Type | Method and 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) |
int |
hashCode() |
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.
|
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) |
java.lang.String |
toString() |
getInputTypeRestriction, getP
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
instantiate
isSquared, isSymmetric
public static final ManhattanDistanceFunction STATIC
@Deprecated public ManhattanDistanceFunction()
STATIC
instead.private double preDistance(NumberVector v1, NumberVector v2, int start, int end)
private double preDistanceVM(NumberVector v, SpatialComparable mbr, int start, int end)
private double preDistanceMBR(SpatialComparable mbr1, SpatialComparable mbr2, int start, int end)
private double preNorm(NumberVector v, int start, int end)
private double preNormMBR(SpatialComparable mbr, int start, int end)
public double distance(NumberVector v1, NumberVector v2)
PrimitiveDistanceFunction
distance
in interface NumberVectorDistanceFunction<NumberVector>
distance
in interface PrimitiveDistanceFunction<NumberVector>
distance
in class LPIntegerNormDistanceFunction
v1
- first DatabaseObjectv2
- second DatabaseObjectpublic double norm(NumberVector v)
Norm
norm
in interface Norm<NumberVector>
norm
in class LPIntegerNormDistanceFunction
v
- Objectpublic double minDist(SpatialComparable mbr1, SpatialComparable mbr2)
SpatialPrimitiveDistanceFunction
minDist
in interface SpatialPrimitiveDistanceFunction<NumberVector>
minDist
in class LPIntegerNormDistanceFunction
mbr1
- the first MBR objectmbr2
- the second MBR objectpublic boolean isMetric()
DistanceFunction
isMetric
in interface DistanceFunction<NumberVector>
isMetric
in class LPNormDistanceFunction
true
when metric.public java.lang.String toString()
toString
in class LPNormDistanceFunction
public boolean equals(java.lang.Object obj)
equals
in class LPIntegerNormDistanceFunction
public int hashCode()
hashCode
in class LPIntegerNormDistanceFunction
Copyright © 2019 ELKI Development Team. License information.