Package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Examples of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization.addParameter()

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  public void testKNNOutlier() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(KNNOutlier.K_ID, 2);

    // setup Algorithm
    KNNOutlier<DoubleVector, DoubleDistance> knnOutlier = ClassGenericsUtil.parameterizeOrAbort(KNNOutlier.class, params);
    testParameterizationOk(params);
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  public void testSOD() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(SOD.KNN_ID, 25);
    params.addParameter(SharedNearestNeighborPreprocessor.Factory.NUMBER_OF_NEIGHBORS_ID, 19);

    // setup Algorithm
    SOD<DoubleVector> sod = ClassGenericsUtil.parameterizeOrAbort(SOD.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(SOD.KNN_ID, 25);
    params.addParameter(SharedNearestNeighborPreprocessor.Factory.NUMBER_OF_NEIGHBORS_ID, 19);

    // setup Algorithm
    SOD<DoubleVector> sod = ClassGenericsUtil.parameterizeOrAbort(SOD.class, params);
    testParameterizationOk(params);
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  public void testINFLO() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(INFLO.K_ID, 29);

    // setup Algorithm
    INFLO<DoubleVector, DoubleDistance> inflo = ClassGenericsUtil.parameterizeOrAbort(INFLO.class, params);
    testParameterizationOk(params);
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  public void testAggarwalYuNaive() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(AggarwalYuNaive.K_ID, 2);
    params.addParameter(AggarwalYuNaive.PHI_ID, 8);

    // setup Algorithm
    AggarwalYuNaive<DoubleVector> aggarwalYuNaive = ClassGenericsUtil.parameterizeOrAbort(AggarwalYuNaive.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(AggarwalYuNaive.K_ID, 2);
    params.addParameter(AggarwalYuNaive.PHI_ID, 8);

    // setup Algorithm
    AggarwalYuNaive<DoubleVector> aggarwalYuNaive = ClassGenericsUtil.parameterizeOrAbort(AggarwalYuNaive.class, params);
    testParameterizationOk(params);
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  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);
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  public void testABOD() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(ABOD.K_ID, 5);

    // setup Algorithm
    ABOD<DoubleVector> abod = ClassGenericsUtil.parameterizeOrAbort(ABOD.class, params);
    testParameterizationOk(params);
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  public void testReferenceBasedOutlierDetection() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(ReferenceBasedOutlierDetection.K_ID, 11);
    params.addParameter(GridBasedReferencePoints.GRID_ID, 11);

    // setup Algorithm
    ReferenceBasedOutlierDetection<DoubleVector, DoubleDistance> referenceBasedOutlierDetection = ClassGenericsUtil.parameterizeOrAbort(ReferenceBasedOutlierDetection.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(ReferenceBasedOutlierDetection.K_ID, 11);
    params.addParameter(GridBasedReferencePoints.GRID_ID, 11);

    // setup Algorithm
    ReferenceBasedOutlierDetection<DoubleVector, DoubleDistance> referenceBasedOutlierDetection = ClassGenericsUtil.parameterizeOrAbort(ReferenceBasedOutlierDetection.class, params);
    testParameterizationOk(params);
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