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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 LoOP algorithm.
*
* @author Lucia Cichella
*/
public class TestLoOP extends AbstractSimpleAlgorithmTest implements JUnit4Test {
@Test
public void testLoOP() {
Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);
// Parameterization
ListParameterization params = new ListParameterization();
params.addParameter(LoOP.KCOMP_ID, 15);
// setup Algorithm
LoOP<DoubleVector, DoubleDistance> loop = ClassGenericsUtil.parameterizeOrAbort(LoOP.class, params);
testParameterizationOk(params);
// run LoOP on database
OutlierResult result = loop.run(db);
testSingleScore(result, 945, 0.39805457858293325);
testAUC(db, "Noise", result, 0.9443796296296296);
}
}
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