Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

de.lmu.ifi.dbs.elki.distance.distancefunction
Class ManhattanDistanceFunction<V extends NumberVector<V,?>>

java.lang.Object
  extended by de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      extended by de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction<O,D>
          extended by de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction<V,DoubleDistance>
              extended by de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction<V>
Type Parameters:
V - the type of FeatureVector to compute the distances in between
All Implemented Interfaces:
DistanceFunction<V,DoubleDistance>, MeasurementFunction<V,DoubleDistance>, Parameterizable

public class ManhattanDistanceFunction<V extends NumberVector<V,?>>
extends AbstractDistanceFunction<V,DoubleDistance>

Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.

Author:
Arthur Zimek

Field Summary
 
Fields inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction
distanceFactory
 
Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debug, logger
 
Constructor Summary
ManhattanDistanceFunction()
          Provides a Manhattan distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.
 
Method Summary
 DoubleDistance distance(V v1, V v2)
          Computes the distance between two given DatabaseObjects according to this distance function.
 
Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction
distance, distance
 
Methods inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction
getDatabase, getDistanceFactory, infiniteDistance, nullDistance, setDatabase, undefinedDistance, valueOf
 
Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debugFine, debugFiner, debugFinest, exception, progress, verbose, warning
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 
Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction
getDistanceFactory, infiniteDistance, nullDistance, setDatabase, undefinedDistance, valueOf
 

Constructor Detail

ManhattanDistanceFunction

public ManhattanDistanceFunction()
Provides a Manhattan distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.

Method Detail

distance

public DoubleDistance distance(V v1,
                               V v2)
Description copied from interface: DistanceFunction
Computes the distance between two given DatabaseObjects according to this distance function.

Parameters:
v1 - first DatabaseObject
v2 - second DatabaseObject
Returns:
the distance between two given DatabaseObjects according to this distance function

Release 0.3 (2010-03-31_1612)