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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    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(OPTICS.MINPTS_ID, 18);
    params.addParameter(OPTICSXi.XI_ID, 0.038);
    params.addParameter(OPTICSXi.XIALG_ID, OPTICS.class);
    OPTICSXi<DoubleDistance> opticsxi = ClassGenericsUtil.parameterizeOrAbort(OPTICSXi.class, params);
    testParameterizationOk(params);

    // run OPTICS on database
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    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(OPTICS.MINPTS_ID, 18);
    params.addParameter(OPTICSXi.XI_ID, 0.038);
    params.addParameter(OPTICSXi.XIALG_ID, OPTICS.class);
    OPTICSXi<DoubleDistance> opticsxi = ClassGenericsUtil.parameterizeOrAbort(OPTICSXi.class, params);
    testParameterizationOk(params);

    // run OPTICS on database
    Clustering<?> clustering = opticsxi.run(db);
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  @Test
  public void testPROCLUSResults() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-simple.csv", 600);

    ListParameterization params = new ListParameterization();
    params.addParameter(PROCLUS.L_ID, 1);
    params.addParameter(PROCLUS.K_ID, 4);
    params.addParameter(PROCLUS.SEED_ID, 1);

    // setup algorithm
    PROCLUS<DoubleVector> proclus = ClassGenericsUtil.parameterizeOrAbort(PROCLUS.class, params);
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  public void testPROCLUSResults() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-simple.csv", 600);

    ListParameterization params = new ListParameterization();
    params.addParameter(PROCLUS.L_ID, 1);
    params.addParameter(PROCLUS.K_ID, 4);
    params.addParameter(PROCLUS.SEED_ID, 1);

    // setup algorithm
    PROCLUS<DoubleVector> proclus = ClassGenericsUtil.parameterizeOrAbort(PROCLUS.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "subspace-simple.csv", 600);

    ListParameterization params = new ListParameterization();
    params.addParameter(PROCLUS.L_ID, 1);
    params.addParameter(PROCLUS.K_ID, 4);
    params.addParameter(PROCLUS.SEED_ID, 1);

    // setup algorithm
    PROCLUS<DoubleVector> proclus = ClassGenericsUtil.parameterizeOrAbort(PROCLUS.class, params);
    testParameterizationOk(params);
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  public void testPROCLUSSubspaceOverlapping() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(PROCLUS.L_ID, 2);
    params.addParameter(PROCLUS.K_ID, 3);
    params.addParameter(PROCLUS.SEED_ID, 2);
    PROCLUS<DoubleVector> proclus = ClassGenericsUtil.parameterizeOrAbort(PROCLUS.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(PROCLUS.L_ID, 2);
    params.addParameter(PROCLUS.K_ID, 3);
    params.addParameter(PROCLUS.SEED_ID, 2);
    PROCLUS<DoubleVector> proclus = ClassGenericsUtil.parameterizeOrAbort(PROCLUS.class, params);
    testParameterizationOk(params);

    // run PROCLUS on database
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    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(PROCLUS.L_ID, 2);
    params.addParameter(PROCLUS.K_ID, 3);
    params.addParameter(PROCLUS.SEED_ID, 2);
    PROCLUS<DoubleVector> proclus = ClassGenericsUtil.parameterizeOrAbort(PROCLUS.class, params);
    testParameterizationOk(params);

    // run PROCLUS on database
    Clustering<Model> result = proclus.run(db);
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  public void testEMResults() {
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(EM.SEED_ID, 1);
    params.addParameter(EM.K_ID, 5);
    EM<DoubleVector> em = ClassGenericsUtil.parameterizeOrAbort(EM.class, params);
    testParameterizationOk(params);

    // run EM on database
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    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(EM.SEED_ID, 1);
    params.addParameter(EM.K_ID, 5);
    EM<DoubleVector> em = ClassGenericsUtil.parameterizeOrAbort(EM.class, params);
    testParameterizationOk(params);

    // run EM on database
    Clustering<EMModel<DoubleVector>> result = em.run(db);
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