/** * Copyright (C) 2001-2017 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"; } }