nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores.distance
Class WeightedKLDDistance

java.lang.Object
  nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores.distance.WeightedKLDDistance

All Implemented Interfaces:

DistanceFunction

public class WeightedKLDDistance
extends java.lang.Object
implements DistanceFunction

Weighted KLDistance function Adapted from Anna Huang's Weka implementation.
Note: SparseListMapDataVector and ListSetVector are slow on this metric

Constructor Summary

WeightedKLDDistance()

Method Summary

double

distance(DataVector inst1, DataVector inst2) Return the distance between the two given vectors as a double.

Methods inherited from class java.lang.Object

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

Constructor Detail

WeightedKLDDistance

public WeightedKLDDistance()

Method Detail

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