Core.CBR.Distances.Globals

Class GlobalDistance

java.lang.Object

Core.CBR.Distances.Globals.GlobalDistance

Direct Known Subclasses:

GlobalDistanceAverage, GlobalDistanceEuclidean, GlobalDistanceNCM, GlobalDistanceNCM2, GlobalDistanceSequences, GlobalDistanceWeightedEuclidean, GlobalDistanceWM

public abstract class GlobalDistance
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
protected LocalDistance	date_dist Object to computeDistance the local date computeDistance.
protected LocalDistance	discrete_dist Object to computeDistance the local discrete computeDistance.
protected LocalDistance	numeric_dist Object to computeDistance the local numeric computeDistance.
protected LocalDistance	sequence_dist Object to computeDistance the local sequence computeDistance.
protected LocalDistance	text_dist Object to computeDistance the local text computeDistance.

Constructor Summary

Constructors

Constructor and Description
GlobalDistance() Void constructor.

Method Summary

Methods

Modifier and Type	Method and Description
abstract MatriuDistancies	computeDistance(Population test, Population train, java.lang.String classe) Abstract method to computeDistance the global computeDistance between two populations.
protected java.lang.Float[]	individualDistance(Individual a, Individual b, Population p) Computes local computeDistance between two individuals.
void	setLocalDistances(LocalDistance d_num, LocalDistance d_disc, LocalDistance d_text, LocalDistance d_date, LocalDistance d_sequencies) Sets all the local computeDistance methods to the provided specific implementations.

Methods inherited from class java.lang.Object

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

Field Detail

numeric_dist

protected LocalDistance numeric_dist

Object to computeDistance the local numeric computeDistance.

discrete_dist

protected LocalDistance discrete_dist

Object to computeDistance the local discrete computeDistance.

text_dist

protected LocalDistance text_dist

Object to computeDistance the local text computeDistance.

date_dist

protected LocalDistance date_dist

Object to computeDistance the local date computeDistance.

sequence_dist

protected LocalDistance sequence_dist

Object to computeDistance the local sequence computeDistance.

Constructor Detail

GlobalDistance

public GlobalDistance()

Void constructor.

Method Detail

setLocalDistances

public void setLocalDistances(LocalDistance d_num,
                     LocalDistance d_disc,
                     LocalDistance d_text,
                     LocalDistance d_date,
                     LocalDistance d_sequencies)

Sets all the local computeDistance methods to the provided specific implementations.

Parameters:

d_num - LocalDistance computeDistance computing method for continuous numbers.

d_disc - LocalDistance computeDistance computing method for discrete numbers.

d_text - LocalDistance computeDistance computing method for text values.

d_date - LocalDistance computeDistance computing method for date values.

d_sequencies - LocalDistance computeDistance computing method for sequences.

computeDistance

public abstract MatriuDistancies computeDistance(Population test,
                               Population train,
                               java.lang.String classe)

Abstract method to computeDistance the global computeDistance between two populations. This method is to be implemented by subclasses in the appropriate way. Returns a computeDistance matrix with the computeDistance between individuals test[i] and train[j] in the (i,j) position.

Parameters:

test - Population of test.

train - Population of case base.

classe - String with the attribute id of the value to classify.

Returns:

MatriuDistancies with the distances between the population individuals.

individualDistance

protected java.lang.Float[] individualDistance(Individual a,
                                   Individual b,
                                   Population p)

Computes local computeDistance between two individuals. Given two individuals, local computeDistance for every numeric and discrete attribute is computed.

Parameters:

a - Individual (test).

b - Individual (train).

p - Population with the individuals' attributes.

Returns:

MatriuDistancies with the numeric and discrete distances between the population individuals.