Core.CBR.Distances.Locals

Class LocalDistance

java.lang.Object

Core.CBR.Distances.Locals.LocalDistance

Direct Known Subclasses:

LocalDistanceBoolean, LocalDistanceDateStandard, LocalDistanceEuclidean, LocalDistanceHamming, LocalDistanceNCM, LocalDistanceSequencesDIST4MADCAPPablo, LocalDistanceSequencesLaneAndBrodley, LocalDistanceSequencesMarcCompta, LocalDistanceSequencesUCIMarcCompta

public abstract class LocalDistance
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
LocalDistance()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.Float	computeDistance(Individual i1, Individual i2, java.lang.String attribute, Population p) Computes the distance between 'a' and 'b' considering missing values.
protected abstract float	distance(java.lang.Object a, java.lang.Object b) Abstract method to computeDistance the computeDistance between 'a' and 'b'.
void	setMissingMethod(Missing d) Adds a computeDistance computation method with missing values to this.

Methods inherited from class java.lang.Object

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

Constructor Detail

LocalDistance

public LocalDistance()

Method Detail

distance

protected abstract float distance(java.lang.Object a,
             java.lang.Object b)

Abstract method to computeDistance the computeDistance between 'a' and 'b'. Neither 'a' nor 'b' can be null.

Parameters:

a - Object.

b - Object.

Returns:

float computeDistance between 'a' i 'b'.

setMissingMethod

public void setMissingMethod(Missing d)

Adds a computeDistance computation method with missing values to this. Due to the automation of class instantiation, this method is needed to set a specific misisng computeDistance method.

Parameters:

d - Missing value treatment method to use in this.

computeDistance

public java.lang.Float computeDistance(Individual i1,
                              Individual i2,
                              java.lang.String attribute,
                              Population p)

Computes the distance between 'a' and 'b' considering missing values. Returns the distance between the individuals for a given attribute, using the missing values treatment method if any of them is null.

Parameters:

i1 - Individual.

i2 - Individual.

attribute - Attribute id

p - Population.

Returns:

Distance between 'a' and 'b'