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diff --git a/test/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/TestFeatureBagging.java b/test/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/TestFeatureBagging.java
deleted file mode 100644
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--- a/test/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/TestFeatureBagging.java
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@@ -1,84 +0,0 @@
-package de.lmu.ifi.dbs.elki.algorithm.outlier.meta;
-
-/*
- 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.algorithm.outlier.lof.LOF;
-import de.lmu.ifi.dbs.elki.database.Database;
-import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
-import de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil;
-import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization;
-
-/**
- * Tests the Feature Bagging algorithm.
- *
- * @author Erich Schubert
- */
-public class TestFeatureBagging extends AbstractSimpleAlgorithmTest implements JUnit4Test {
- @Test
- public void testFeatureBaggingSum() {
- Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);
-
- // Parameterization
- ListParameterization params = new ListParameterization();
- params.addParameter(LOF.Parameterizer.K_ID, 10);
- params.addParameter(FeatureBagging.Parameterizer.NUM_ID, 10);
- params.addParameter(FeatureBagging.Parameterizer.SEED_ID, 1);
-
- // setup Algorithm
- FeatureBagging fb = ClassGenericsUtil.parameterizeOrAbort(FeatureBagging.class, params);
- testParameterizationOk(params);
-
- // run AggarwalYuEvolutionary on database
- OutlierResult result = fb.run(db);
-
- testSingleScore(result, 1293, 11.8295414);
- testAUC(db, "Noise", result, 0.9066106);
- }
-
- @Test
- public void testFeatureBaggingBreadth() {
- Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);
-
- // Parameterization
- ListParameterization params = new ListParameterization();
- params.addParameter(LOF.Parameterizer.K_ID, 10);
- params.addParameter(FeatureBagging.Parameterizer.NUM_ID, 10);
- params.addParameter(FeatureBagging.Parameterizer.SEED_ID, 5);
- params.addFlag(FeatureBagging.Parameterizer.BREADTH_ID);
-
- // setup Algorithm
- FeatureBagging fb = ClassGenericsUtil.parameterizeOrAbort(FeatureBagging.class, params);
- testParameterizationOk(params);
-
- // run AggarwalYuEvolutionary on database
- OutlierResult result = fb.run(db);
-
- testSingleScore(result, 1293, 1.321709879);
- testAUC(db, "Noise", result, 0.884212);
- }
-} \ No newline at end of file