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

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(AggarwalYuEvolutionary.K_ID, 2);
    params.addParameter(AggarwalYuEvolutionary.PHI_ID, 8);
    params.addParameter(AggarwalYuEvolutionary.M_ID, 5);
    params.addParameter(AggarwalYuEvolutionary.SEED_ID, 0);

    // setup Algorithm
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    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(AggarwalYuEvolutionary.K_ID, 2);
    params.addParameter(AggarwalYuEvolutionary.PHI_ID, 8);
    params.addParameter(AggarwalYuEvolutionary.M_ID, 5);
    params.addParameter(AggarwalYuEvolutionary.SEED_ID, 0);

    // setup Algorithm
    AggarwalYuEvolutionary<DoubleVector> aggarwalYuEvolutionary = ClassGenericsUtil.parameterizeOrAbort(AggarwalYuEvolutionary.class, params);
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    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(AggarwalYuEvolutionary.K_ID, 2);
    params.addParameter(AggarwalYuEvolutionary.PHI_ID, 8);
    params.addParameter(AggarwalYuEvolutionary.M_ID, 5);
    params.addParameter(AggarwalYuEvolutionary.SEED_ID, 0);

    // setup Algorithm
    AggarwalYuEvolutionary<DoubleVector> aggarwalYuEvolutionary = ClassGenericsUtil.parameterizeOrAbort(AggarwalYuEvolutionary.class, params);
    testParameterizationOk(params);
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    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(AggarwalYuEvolutionary.K_ID, 2);
    params.addParameter(AggarwalYuEvolutionary.PHI_ID, 8);
    params.addParameter(AggarwalYuEvolutionary.M_ID, 5);
    params.addParameter(AggarwalYuEvolutionary.SEED_ID, 0);

    // setup Algorithm
    AggarwalYuEvolutionary<DoubleVector> aggarwalYuEvolutionary = ClassGenericsUtil.parameterizeOrAbort(AggarwalYuEvolutionary.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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  @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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  public void testLDOF() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-fire.ascii", 1025);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(LDOF.K_ID, 25);

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