Import Upstream version 0.4.0~beta1

1 files changed, 38 insertions, 0 deletions

diff --git a/test/de/lmu/ifi/dbs/elki/algorithm/outlier/TestLOCI.java b/test/de/lmu/ifi/dbs/elki/algorithm/outlier/TestLOCI.java
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+++ b/test/de/lmu/ifi/dbs/elki/algorithm/outlier/TestLOCI.java
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+package de.lmu.ifi.dbs.elki.algorithm.outlier;
+
+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.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 LOCI algorithm.
+ * 
+ * @author Lucia Cichella
+ */
+public class TestLOCI extends AbstractSimpleAlgorithmTest implements JUnit4Test {
+  @Test
+  public void testLOCI() {
+    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);
+
+    // Parameterization
+    ListParameterization params = new ListParameterization();
+    params.addParameter(LOCI.RMAX_ID, 0.5);
+
+    // setup Algorithm
+    LOCI<DoubleVector, DoubleDistance> loci = ClassGenericsUtil.parameterizeOrAbort(LOCI.class, params);
+    testParameterizationOk(params);
+
+    // run LOCI on database
+    OutlierResult result = loci.run(db);
+
+    testAUC(db, "Noise", result, 0.954444);
+    testSingleScore(result, 146, 4.14314916);
+  }
+}
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