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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 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.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);
}
}
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