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diff --git a/test/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/TestLOF.java b/test/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/TestLOF.java
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+package de.lmu.ifi.dbs.elki.algorithm.outlier.lof;
+
+/*
+ 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.data.DoubleVector;
+import de.lmu.ifi.dbs.elki.database.Database;
+import de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance;
+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 LOF algorithm.
+ *
+ * @author Lucia Cichella
+ */
+public class TestLOF extends AbstractSimpleAlgorithmTest implements JUnit4Test {
+ @Test
+ public void testLOF() {
+ Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);
+
+ // Parameterization
+ ListParameterization params = new ListParameterization();
+ params.addParameter(LOF.Parameterizer.K_ID, 10);
+
+ // setup Algorithm
+ LOF<DoubleVector, DoubleDistance> lof = ClassGenericsUtil.parameterizeOrAbort(LOF.class, params);
+ testParameterizationOk(params);
+
+ // run LOF on database
+ OutlierResult result = lof.run(db);
+
+ testSingleScore(result, 1293, 1.1945314199156365);
+ testAUC(db, "Noise", result, 0.8921680672268908);
+ }
+} \ No newline at end of file