net.sf.tweety.logics.ml.analysis

Class ProbabilisticPNormDistanceFunction

java.lang.Object

net.sf.tweety.logics.ml.analysis.ProbabilisticPNormDistanceFunction

All Implemented Interfaces:

Serializable, DistanceFunction

public class ProbabilisticPNormDistanceFunction
extends Object
implements DistanceFunction

This class implement the p-norm distance function where distances are normalized corresponding to their distance to 0.5.

Author:

Matthias Thimm

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ProbabilisticPNormDistanceFunction(int p, int c) Creates a new p-norm distance function where distances are normalized.

Method Summary

Modifier and Type	Method and Description
double	distance(List<Double> l1, List<Double> l2) Measures the distance between the two vectors.
boolean	equals(Object obj)
int	hashCode()
String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ProbabilisticPNormDistanceFunction

public ProbabilisticPNormDistanceFunction(int p,
                                          int c)

Creates a new p-norm distance function where distances are normalized.

Parameters:

p - the parameter for the p-norm.

c - the parameter of the normalization.

Method Detail

distance

public double distance(List<Double> l1,
                       List<Double> l2)

Description copied from interface: DistanceFunction

Measures the distance between the two vectors.

Specified by:

distance in interface DistanceFunction

Parameters:

l1 - some list of doubles.

l2 - some list of doubles.

Returns:

the distance between the two vectors.

toString

public String toString()

Specified by:

toString in interface DistanceFunction

Overrides:

toString in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object