nz.ac.waikato.mcennis.rat.reusablecores.distance
Class ExponentialDistance

java.lang.Object
  nz.ac.waikato.mcennis.rat.reusablecores.distance.ExponentialDistance

All Implemented Interfaces:

DistanceFunction

public class ExponentialDistance
extends java.lang.Object
implements DistanceFunction

Constructor Summary

ExponentialDistance()

Method Summary

double	distance(DataVector inst1, DataVector inst2) Return the distance between the two given vectors as a double.
double	getNegativeBase()
double	getNegativeExponent()
double	getPositiveBase()
double	getPositiveExponent()
ExponentialDistance	prototype()
void	setNegativeBase(double negativeBase)
void	setNegativeExponent(double negativeExponent)
void	setPositiveBase(double positiveBase)
void	setPositiveExponent(double positiveExponent)

Methods inherited from class java.lang.Object

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

Constructor Detail

ExponentialDistance

public ExponentialDistance()

Method Detail

getNegativeBase

public double getNegativeBase()

setNegativeBase

public void setNegativeBase(double negativeBase)

getNegativeExponent

public double getNegativeExponent()

setNegativeExponent

public void setNegativeExponent(double negativeExponent)

getPositiveBase

public double getPositiveBase()

setPositiveBase

public void setPositiveBase(double positiveBase)

getPositiveExponent

public double getPositiveExponent()

setPositiveExponent

public void setPositiveExponent(double positiveExponent)

distance

public double distance(DataVector inst1,
                       DataVector inst2)

Description copied from interface: DistanceFunction

Return the distance between the two given vectors as a double.

Specified by:

distance in interface DistanceFunction

Parameters:

inst1 - left data vector

inst2 - right data vector

Returns:

distance by a given metric

prototype

public ExponentialDistance prototype()

Specified by:

prototype in interface DistanceFunction