Package de.lmu.ifi.dbs.elki.database

Examples of de.lmu.ifi.dbs.elki.database.Database

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   *
   * @throws ParameterException
   */
  @Test
  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);
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   *
   * @throws ParameterException
   */
  @Test
  public void testPreDeConSubspaceOverlapping() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // PreDeCon
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 2.0);
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  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);
    params.addParameter(OPTICSXi.XI_ID, 0.038);
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   *
   * @throws ParameterException
   */
  @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);

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   *
   * @throws ParameterException
   */
  @Test
  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);
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* @author Erich Schubert
*/
public class TestFeatureBagging extends AbstractSimpleAlgorithmTest implements JUnit4Test {
  @Test
  public void testFeatureBaggingSum() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(LOF.K_ID, 10);
    params.addParameter(FeatureBagging.Parameterizer.NUM_ID, 10);
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    testAUC(db, "Noise", result, 0.9066106);
  }

  @Test
  public void testFeatureBaggingBreadth() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);

    // Parameterization
    ListParameterization params = new ListParameterization();
    params.addParameter(LOF.K_ID, 10);
    params.addParameter(FeatureBagging.Parameterizer.NUM_ID, 10);
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   *
   * @throws ParameterException
   */
  @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);

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   *
   * @throws ParameterException
   */
  @Test
  public void testCLIQUESubspaceOverlapping() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(CLIQUE.TAU_ID, 0.2);
    params.addParameter(CLIQUE.XSI_ID, 6);
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   *
   * @throws ParameterException
   */
  @Test
  public void testDBSCANResults() {
    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);

    // setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(DBSCAN.EPSILON_ID, 0.04);
    params.addParameter(DBSCAN.MINPTS_ID, 20);
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Related Classes of de.lmu.ifi.dbs.elki.database.Database

  • de.lmu.ifi.dbs.elki.algorithm.AbstractSimpleAlgorithmTest
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.TestCASHResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.TestCOPACResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.TestERiCResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.TestFourCResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.TestORCLUSResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.TestKMeansResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.TestCLIQUEResults
  • de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.TestDiSHResults
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