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diff --git a/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestCLIQUEResults.java b/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestCLIQUEResults.java
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--- a/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestCLIQUEResults.java
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@@ -1,98 +0,0 @@
-package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace;
-
-/*
- 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.data.DoubleVector;
-import de.lmu.ifi.dbs.elki.data.model.SubspaceModel;
-import de.lmu.ifi.dbs.elki.database.Database;
-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;
-
-/**
- * Performs a full CLIQUE run, and compares the result with a clustering derived
- * from the data set labels. This test ensures that CLIQUE performance doesn't
- * unexpectedly drop on this data set (and also ensures that the algorithms
- * work, as a side effect).
- *
- * @author Elke Achtert
- * @author Katharina Rausch
- * @author Erich Schubert
- */
-public class TestCLIQUEResults extends AbstractSimpleAlgorithmTest implements JUnit4Test {
- /**
- * Run CLIQUE with fixed parameters and compare the result to a golden
- * standard.
- *
- * @throws ParameterException
- */
- @Test
- public void testCLIQUEResults() {
- Database db = makeSimpleDatabase(UNITTEST + "subspace-simple.csv", 600);
-
- ListParameterization params = new ListParameterization();
- params.addParameter(CLIQUE.TAU_ID, "0.1");
- params.addParameter(CLIQUE.XSI_ID, 20);
-
- // setup algorithm
- CLIQUE<DoubleVector> clique = ClassGenericsUtil.parameterizeOrAbort(CLIQUE.class, params);
- testParameterizationOk(params);
-
- // run CLIQUE on database
- Clustering<SubspaceModel<DoubleVector>> result = clique.run(db);
-
- // PairCounting is not appropriate here: overlapping clusterings!
- // testFMeasure(db, result, 0.9882);
- testClusterSizes(result, new int[] { 200, 200, 216, 400 });
- }
-
- /**
- * Run CLIQUE with fixed parameters and compare the result to a golden
- * standard.
- *
- * @throws ParameterException
- */
- @Test
- public void testCLIQUESubspaceOverlapping() {
- Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);
-
- // Setup algorithm
- ListParameterization params = new ListParameterization();
- params.addParameter(CLIQUE.TAU_ID, 0.2);
- params.addParameter(CLIQUE.XSI_ID, 6);
- CLIQUE<DoubleVector> clique = ClassGenericsUtil.parameterizeOrAbort(CLIQUE.class, params);
- testParameterizationOk(params);
-
- // run CLIQUE on database
- Clustering<SubspaceModel<DoubleVector>> result = clique.run(db);
- // PairCounting is not appropriate here: overlapping clusterings!
- // testFMeasure(db, result, 0.433661);
- testClusterSizes(result, new int[] { 255, 409, 458, 458, 480 });
- }
-} \ No newline at end of file