/*
* RapidMiner
*
* Copyright (C) 2001-2014 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.tools.math.similarity.nominal;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.Tools;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.tools.math.similarity.DistanceMeasure;
/**
* A distance measure for nominal values accounting a value of one if two values are unequal.
*
* @author Sebastian Land, Michael Wurst
*/
public class NominalDistance extends DistanceMeasure {
private static final long serialVersionUID = -1239573851325335924L;
private boolean[] useAttribute;
@Override
public double calculateDistance(double[] value1, double[] value2) {
double sum = 0.0;
int counter = 0;
for (int i = 0; i < value1.length; i++) {
if (useAttribute == null || useAttribute[i]) {
if ((!Double.isNaN(value1[i])) && (!Double.isNaN(value2[i]))) {
if (value1[i] != value2[i])
sum = sum + 1.0;
counter++;
}
}
}
if (counter > 0)
return sum;
else
return Double.NaN;
}
@Override
public double calculateSimilarity(double[] value1, double[] value2) {
return -calculateDistance(value1, value2);
}
// checking for example set and valid attributes
@Override
public void init(ExampleSet exampleSet) throws OperatorException {
super.init(exampleSet);
Tools.onlyNominalAttributes(exampleSet, "nominal similarities");
this.useAttribute = new boolean[exampleSet.getAttributes().size()];
int i = 0;
for (Attribute attribute : exampleSet.getAttributes()) {
if (attribute.isNominal())
useAttribute[i] = true;
i++;
}
}
@Override
public String toString() {
return "Nominal distance";
}
}