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authorErich Schubert <erich@debian.org>2016-02-13 17:05:40 +0100
committerAndrej Shadura <andrewsh@debian.org>2019-03-09 22:30:47 +0000
commitdefdc6d2d24cb1cefca77aa63ca6c436a8f3672c (patch)
treea017235849736e0a0ea8a2b28de23f46dc47b082 /elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaiveTest.java
parentaee1a6e43bd1a264226de31eadf10003c46d47c6 (diff)
parent0a055548ae9f9d5c639bb29ca32e0fd88de37c1d (diff)
Import Debian changes 0.7.1-1
elki (0.7.1-1) unstable; urgency=low * New upstream release (mostly bug fixes) * Drop patches included upstream * Build-dep on default-jdk instead of openjdk7-jdk (Closes: #814163)
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diff --git a/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaiveTest.java b/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaiveTest.java
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+++ b/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaiveTest.java
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+package de.lmu.ifi.dbs.elki.algorithm.outlier.subspace;
+
+/*
+ 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.algorithm.outlier.subspace.AggarwalYuNaive;
+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 AggarwalYuNaive algorithm.
+ *
+ * @author Lucia Cichella
+ * @since 0.4.0
+ */
+public class AggarwalYuNaiveTest extends AbstractSimpleAlgorithmTest implements JUnit4Test {
+ @Test
+ public void testAggarwalYuNaive() {
+ Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);
+
+ // Parameterization
+ ListParameterization params = new ListParameterization();
+ params.addParameter(AggarwalYuNaive.Parameterizer.K_ID, 2);
+ params.addParameter(AggarwalYuNaive.Parameterizer.PHI_ID, 8);
+
+ // setup Algorithm
+ AggarwalYuNaive<DoubleVector> aggarwalYuNaive = ClassGenericsUtil.parameterizeOrAbort(AggarwalYuNaive.class, params);
+ testParameterizationOk(params);
+
+ // run AggarwalYuNaive on database
+ OutlierResult result = aggarwalYuNaive.run(db);
+
+ testAUC(db, "Noise", result, 0.9007777777777);
+ testSingleScore(result, 945, -2.862640213982);
+ }
+} \ No newline at end of file