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Diffstat (limited to 'test/de/lmu/ifi/dbs/elki/algorithm/clustering/hierarchical/TestSLINKResults.java')
-rw-r--r-- | test/de/lmu/ifi/dbs/elki/algorithm/clustering/hierarchical/TestSLINKResults.java | 75 |
1 files changed, 0 insertions, 75 deletions
diff --git a/test/de/lmu/ifi/dbs/elki/algorithm/clustering/hierarchical/TestSLINKResults.java b/test/de/lmu/ifi/dbs/elki/algorithm/clustering/hierarchical/TestSLINKResults.java deleted file mode 100644 index 8b25cf9c..00000000 --- a/test/de/lmu/ifi/dbs/elki/algorithm/clustering/hierarchical/TestSLINKResults.java +++ /dev/null @@ -1,75 +0,0 @@ -package de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical; - -/* - This file is part of ELKI: - Environment for Developing KDD-Applications Supported by Index-Structures - - Copyright (C) 2012 - Ludwig-Maximilians-Universität München - Lehr- und Forschungseinheit für Datenbanksysteme - ELKI Development Team - - 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/>. - */ - -import org.junit.Test; - -import de.lmu.ifi.dbs.elki.JUnit4Test; -import de.lmu.ifi.dbs.elki.algorithm.AbstractSimpleAlgorithmTest; -import de.lmu.ifi.dbs.elki.data.Clustering; -import de.lmu.ifi.dbs.elki.database.Database; -import de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance; -import de.lmu.ifi.dbs.elki.result.Result; -import de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil; -import de.lmu.ifi.dbs.elki.utilities.optionhandling.ParameterException; -import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization; -import de.lmu.ifi.dbs.elki.workflow.AlgorithmStep; - -/** - * Performs a full SLINK run, and compares the result with a clustering derived - * from the data set labels. This test ensures that SLINK's performance doesn't - * unexpectedly drop on this data set (and also ensures that the algorithms - * work, as a side effect). - * - * @author Katharina Rausch - * @author Erich Schubert - */ -public class TestSLINKResults extends AbstractSimpleAlgorithmTest implements JUnit4Test { - // TODO: add a test for a non-single-link dataset? - - /** - * Run SLINK with fixed parameters and compare the result to a golden - * standard. - * - * @throws ParameterException - */ - @Test - public void testSLINKResults() { - Database db = makeSimpleDatabase(UNITTEST + "single-link-effect.ascii", 638); - - // Setup algorithm - ListParameterization params = new ListParameterization(); - params.addParameter(ExtractFlatClusteringFromHierarchy.Parameterizer.OUTPUTMODE_ID, ExtractFlatClusteringFromHierarchy.OutputMode.STRICT_PARTITIONS); - params.addParameter(ExtractFlatClusteringFromHierarchy.Parameterizer.MINCLUSTERS_ID, 3); - params.addParameter(AlgorithmStep.Parameterizer.ALGORITHM_ID, SLINK.class); - ExtractFlatClusteringFromHierarchy<DoubleDistance> slink = ClassGenericsUtil.parameterizeOrAbort(ExtractFlatClusteringFromHierarchy.class, params); - testParameterizationOk(params); - - // run SLINK on database - Result result = slink.run(db); - Clustering<?> clustering = findSingleClustering(result); - testFMeasure(db, clustering, 0.6829722); - testClusterSizes(clustering, new int[] { 9, 200, 429 }); - } -} |