1 files changed, 62 insertions, 0 deletions
diff --git a/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOutTest.java b/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOutTest.java
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--- /dev/null
+++ b/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOutTest.java
@@ -0,0 +1,62 @@
+package de.lmu.ifi.dbs.elki.algorithm.outlier.distance;
+
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2015
+ 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.DoubleVector;
+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 KNNWeightOutlier algorithm.
+ *
+ * @author Erich Schubert
+ * @since 0.4.0
+ */
+public class HilOutTest extends AbstractSimpleAlgorithmTest implements JUnit4Test {
+  @Test
+  public void testHilOut() {
+    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);
+
+    // Parameterization
+    ListParameterization params = new ListParameterization();
+    params.addParameter(HilOut.Parameterizer.K_ID, 4);
+    params.addParameter(HilOut.Parameterizer.N_ID, 200);
+
+    // setup Algorithm
+    HilOut<DoubleVector> hilout = ClassGenericsUtil.parameterizeOrAbort(HilOut.class, params);
+    testParameterizationOk(params);
+
+    // run KNNWeightOutlier on database
+    OutlierResult result = hilout.run(db);
+
+    testAUC(db, "Noise", result, 0.985398148);
+    testSingleScore(result, 945, 1.70927657);
+  }
+}
+\ No newline at end of file