/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/***********************************************************************
This file is part of the Fuzzy Instance Based Learning package, a
Java package implementing Fuzzy Nearest Neighbor Classifiers as
complementary material for the paper:
Fuzzy Nearest Neighbor Algorithms: Taxonomy, Experimental analysis and Prospects
Copyright (C) 2012
J. Derrac (jderrac@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
F. Herrera (herrera@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/**
*
* File: Util.java
*
* Auxiliar class with useful function for working with fuzzy instance learning based methods
*
* @author Written by Joaqu�n Derrac (University of Granada) 13/11/2012
* @version 1.0
* @since JDK1.5
*
*/
package keel.Algorithms.Fuzzy_Instance_Based_Learning;
public class Util{
/**
* Computes the Euclidean distance between two instances (L2 norm)
*
* @param instance1 First instance
* @param instance2 Second instance
* @return The Euclidean distance
*
*/
public static double euclideanDistance(double instance1[],double instance2[]){
double length=0.0;
for (int i=0; i<instance1.length; i++) {
length += (instance1[i]-instance2[i])*(instance1[i]-instance2[i]);
}
length = Math.sqrt(length);
return length;
} //end-method
/**
* Computes the unsquared Euclidean distance between two instances (L1 norm)
*
* @param instance1 First instance
* @param instance2 Second instance
* @return The unsquared Euclidean distance
*
*/
public static double euclideanDistanceNS(double instance1[],double instance2[]){
double length=0.0;
for (int i=0; i<instance1.length; i++) {
length += (instance1[i]-instance2[i])*(instance1[i]-instance2[i]);
}
return length;
} //end-method
/**
* Checks if two instances are the same
*
* @param a First instance
* @param b Second instance
* @return True if both instances are equal.
*
*/
public static boolean same(double a[],double b[]){
for(int i=0;i<a.length;i++){
if(a[i]!=b[i]){
return false;
}
}
return true;
}//end-method
/**
* Generates a string with the contents of the instance
*
* @param a Instance to print.
*
* @return A string, with the values of the instance
*
*/
public static void printInstance(double instance[]){
String exit="";
for(int i=0;i<instance.length;i++){
exit+=instance[i]+" ";
}
System.out.println(exit);
}//end-method
/**
* Generates a string with the contents of a data matrix
*
* @param a Data matrix to print.
*
* @return A string, with the values of the data matrix
*
*/
public static void printMatrix(double data[][]){
String exit="";
String cad;
for(int i=0;i<data.length;i++){
cad="";
for(int j=0;j<data[0].length;j++){
cad+=data[i][j]+"\t";
}
exit+=cad+"\n";
}
System.out.println(exit);
}//end-method
/**
* Prints a text in the standard output
*
* @param text Text to print
*/
public static void print(String text){
System.out.println(text);
}//end-method
}//end-class