Package elki.distance.minkowski

Class SparseManhattanDistance

java.lang.Object

elki.distance.minkowski.SparseLPNormDistance

elki.distance.minkowski.SparseManhattanDistance

All Implemented Interfaces:

Distance<SparseNumberVector>, Norm<SparseNumberVector>, PrimitiveDistance<SparseNumberVector>

public class SparseManhattanDistance
extends SparseLPNormDistance

Manhattan distance, optimized for SparseNumberVectors. Manhattan distance is defined as: \[ \text{Manhattan}(\vec{x},\vec{y}) := \sum_i |x_i-y_i| \]

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SparseManhattanDistance.Par	Parameterizer

Field Summary

Fields

Modifier and Type	Field	Description
static SparseManhattanDistance	STATIC	Static instance

Constructor Summary

Constructors

Constructor	Description
SparseManhattanDistance()	Deprecated. Use static instance instead.

Method Summary

Modifier and Type	Method	Description
double	distance(SparseNumberVector v1, SparseNumberVector v2)	Computes the distance between two given DatabaseObjects according to this distance function.
double	norm(SparseNumberVector v1)	Compute the norm of object obj.

Methods inherited from class elki.distance.minkowski.SparseLPNormDistance

getInputTypeRestriction, isMetric

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.distance.Distance

isSquared, isSymmetric

Methods inherited from interface elki.distance.PrimitiveDistance

instantiate

Field Detail

STATIC

public static final SparseManhattanDistance STATIC

Static instance

Constructor Detail

SparseManhattanDistance

@Deprecated
public SparseManhattanDistance()

Deprecated.

Use static instance instead.

Constructor - use STATIC instead.

Method Detail

distance

public double distance(SparseNumberVector v1,
                       SparseNumberVector v2)

Description copied from interface: PrimitiveDistance

Computes the distance between two given DatabaseObjects according to this distance function.

Specified by:

distance in interface PrimitiveDistance<SparseNumberVector>

Overrides:

distance in class SparseLPNormDistance

Parameters:

v1 - first DatabaseObject

v2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function

norm

public double norm(SparseNumberVector v1)

Description copied from interface: Norm

Compute the norm of object obj.

Specified by:

norm in interface Norm<SparseNumberVector>

Overrides:

norm in class SparseLPNormDistance

Parameters:

v1 - Object

Returns:

Norm