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+/*%0A * This file is part of ELKI:%0A * Environment for Developing KDD-Applications Supported by Index-Structures%0A *%0A * Copyright (C) 2019%0A * ELKI Development Team%0A *%0A * This program is free software: you can redistribute it and/or modify%0A * it under the terms of the GNU Affero General Public License as published by%0A * the Free Software Foundation, either version 3 of the License, or%0A * (at your option) any later version.%0A *%0A * This program is distributed in the hope that it will be useful,%0A * but WITHOUT ANY WARRANTY; without even the implied warranty of%0A * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the%0A * GNU Affero General Public License for more details.%0A *%0A * You should have received a copy of the GNU Affero General Public License%0A * along with this program. If not, see %3Chttp://www.gnu.org/licenses/%3E.%0A */%0Apackage elki.evaluation.clustering;%0A%0Aimport static org.junit.Assert.*;%0A%0Aimport org.junit.Test;%0A%0Aimport elki.database.ids.DBIDRange;%0Aimport elki.database.ids.DBIDUtil;%0A%0A/**%0A * Validate the %7B@link MaximumMatchingAccuracy%7D measure.%0A *%0A * @author Robert Gehde%0A */%0Apublic class MaximumMatchingAccuracyTest extends AbstractClusterEvaluationTest %7B%0A  @Test%0A  public void testMMAccuracy() %7B%0A    DBIDRange ids = DBIDUtil.generateStaticDBIDRange(SKLEARNA.length);%0A    ClusterContingencyTable cc = new ClusterContingencyTable(true, false, makeClustering(ids.iter(), SKLEARNA), makeClustering(ids.iter(), SKLEARNB));%0A    MaximumMatchingAccuracy mmacc = new MaximumMatchingAccuracy(cc);%0A%0A    assertEquals(%22KMW Accuracy not as expected%22, 12. / 17., mmacc.getAccuracy(), 1e-15);%0A  %7D%0A%7D%0A

Add test for maximum matching cluster accuracy