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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   */
  @Test
  public void testPreDeConResults() {
    // Additional input parameters
    ListParameterization inp = new ListParameterization();
    inp.addParameter(ClassLabelFilter.CLASS_LABEL_INDEX_ID, 1);
    Class<?>[] filters = new Class<?>[] { ClassLabelFilter.class };
    // FIXME: makeSimpleDatabase currently does also add FILTERS, this doesn't
    // work.
    Database db = makeSimpleDatabase(UNITTEST + "axis-parallel-subspace-clusters-6d.csv.gz", 2500, inp, filters);

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  public void testSLINKResults() {
    Database db = makeSimpleDatabase(UNITTEST + "single-link-effect.ascii", 638);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(SLINK.SLINK_MINCLUSTERS_ID, 3);
    SLINK<DoubleVector, DoubleDistance> slink = ClassGenericsUtil.parameterizeOrAbort(SLINK.class, params);
    testParameterizationOk(params);

    // run SLINK on database
    Result result = slink.run(db);
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    Database db = makeSimpleDatabase(UNITTEST + "axis-parallel-subspace-clusters-6d.csv.gz", 2500, inp, filters);

    ListParameterization params = new ListParameterization();
    // PreDeCon
    // FIXME: These parameters do NOT work...
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 50);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 50);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 2);

    // setup algorithm
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
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    ListParameterization params = new ListParameterization();
    // PreDeCon
    // FIXME: These parameters do NOT work...
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 50);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 50);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 2);

    // setup algorithm
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
    testParameterizationOk(params);
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    ListParameterization params = new ListParameterization();
    // PreDeCon
    // FIXME: These parameters do NOT work...
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 50);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 50);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 2);

    // setup algorithm
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // PreDeCon
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 2.0);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 7);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 4);
    params.addParameter(Factory.DELTA_ID, 0.04);
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
    testParameterizationOk(params);
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    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // PreDeCon
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 2.0);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 7);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 4);
    params.addParameter(Factory.DELTA_ID, 0.04);
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
    testParameterizationOk(params);
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    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // PreDeCon
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 2.0);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 7);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 4);
    params.addParameter(Factory.DELTA_ID, 0.04);
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
    testParameterizationOk(params);

    // run PredeCon on database
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    ListParameterization params = new ListParameterization();
    // PreDeCon
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 2.0);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 7);
    params.addParameter(AbstractProjectedDBSCAN.LAMBDA_ID, 4);
    params.addParameter(Factory.DELTA_ID, 0.04);
    PreDeCon<DoubleVector> predecon = ClassGenericsUtil.parameterizeOrAbort(PreDeCon.class, params);
    testParameterizationOk(params);

    // run PredeCon on database
    Clustering<Model> result = predecon.run(db);
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  @Test
  public void testDiSHResults() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-hierarchy.csv", 450);

    ListParameterization params = new ListParameterization();
    params.addParameter(DiSH.EPSILON_ID, 0.005);
    params.addParameter(DiSH.MU_ID, 50);

    // setup algorithm
    DiSH<DoubleVector> dish = ClassGenericsUtil.parameterizeOrAbort(DiSH.class, params);
    testParameterizationOk(params);
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