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 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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   */
  @Test
  public void testDeLiCluResults() {
    ListParameterization indexparams = new ListParameterization();
    // We need a special index for this algorithm:
    indexparams.addParameter(StaticArrayDatabase.INDEX_ID, DeLiCluTreeFactory.class);
    indexparams.addParameter(DeLiCluTreeFactory.PAGE_SIZE_ID, 1000);
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710, indexparams, null);

    // Setup actual algorithm
    ListParameterization params = new ListParameterization();
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  public void testDiSHSubspaceOverlapping() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-4-5d.ascii", 1100);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(DiSH.EPSILON_ID, 0.1);
    params.addParameter(DiSH.MU_ID, 30);
    DiSH<DoubleVector> dish = ClassGenericsUtil.parameterizeOrAbort(DiSH.class, params);
    testParameterizationOk(params);

    // run DiSH on database
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    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-4-5d.ascii", 1100);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(DiSH.EPSILON_ID, 0.1);
    params.addParameter(DiSH.MU_ID, 30);
    DiSH<DoubleVector> dish = ClassGenericsUtil.parameterizeOrAbort(DiSH.class, params);
    testParameterizationOk(params);

    // run DiSH on database
    Clustering<SubspaceModel<DoubleVector>> result = dish.run(db);
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  @Test
  public void testDeLiCluResults() {
    ListParameterization indexparams = new ListParameterization();
    // We need a special index for this algorithm:
    indexparams.addParameter(StaticArrayDatabase.INDEX_ID, DeLiCluTreeFactory.class);
    indexparams.addParameter(DeLiCluTreeFactory.PAGE_SIZE_ID, 1000);
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710, indexparams, null);

    // Setup actual algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(DeLiClu.MINPTS_ID, 18);
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    indexparams.addParameter(DeLiCluTreeFactory.PAGE_SIZE_ID, 1000);
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710, indexparams, null);

    // Setup actual algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(DeLiClu.MINPTS_ID, 18);
    params.addParameter(OPTICSXi.XI_ID, 0.038);
    params.addParameter(OPTICSXi.XIALG_ID, DeLiClu.class);
    OPTICSXi<DoubleDistance> opticsxi = ClassGenericsUtil.parameterizeOrAbort(OPTICSXi.class, params);
    testParameterizationOk(params);
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    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710, indexparams, null);

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

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

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

    ListParameterization params = new ListParameterization();
    params.addParameter(CLIQUE.TAU_ID, "0.1");
    params.addParameter(CLIQUE.XSI_ID, 20);

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

    ListParameterization params = new ListParameterization();
    params.addParameter(CLIQUE.TAU_ID, "0.1");
    params.addParameter(CLIQUE.XSI_ID, 20);

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