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

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

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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testERiCOverlap() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-overlap-3-5d.ascii", 650);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // ERiC
    params.addParameter(COPAC.PARTITION_ALGORITHM_ID, DBSCAN.class);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testFourCResults() {
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-3d2d1d.csv", 600);

    // Setup 4C
    ListParameterization params = new ListParameterization();
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 0.30);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 20);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testFourCOverlap() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-overlap-3-5d.ascii", 650);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // 4C
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 1.2);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testORCLUSResults() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-hierarchy.csv", 450);

    ListParameterization params = new ListParameterization();
    // these parameters are not picked too smartly - room for improvement.
    params.addParameter(ORCLUS.K_ID, 3);
    params.addParameter(ORCLUS.L_ID, 1);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testORCLUSSkewedDisjoint() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-skewed-disjoint-3-5d.ascii", 601);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(ORCLUS.K_ID, 3);
    params.addParameter(ORCLUS.L_ID, 4);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testCOPACResults() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-hierarchy.csv", 450);

    // these parameters are not picked too smartly - room for improvement.
    ListParameterization params = new ListParameterization();
    params.addParameter(COPAC.PARTITION_ALGORITHM_ID, DBSCAN.class);
    params.addParameter(DBSCAN.EPSILON_ID, 0.02);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testCOPACOverlap() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-overlap-3-5d.ascii", 650);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    params.addParameter(COPAC.PARTITION_ALGORITHM_ID, DBSCAN.class);
    params.addParameter(DBSCAN.EPSILON_ID, 0.5);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testFourCResults() {
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-3d2d1d.csv", 600);

    // Setup 4C
    ListParameterization params = new ListParameterization();
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 0.30);
    params.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, 20);
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   *
   * @throws ParameterException on errors.
   */
  @Test
  public void testFourCOverlap() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-overlap-3-5d.ascii", 650);

    // Setup algorithm
    ListParameterization params = new ListParameterization();
    // 4C
    params.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, 1.2);
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    // Input
    config.addParameter(FileBasedDatabaseConnection.INPUT_ID, dataset);
    // This data was generated with a mean of 0.0 and stddev 1.23,

    // get database
    Database db = ClassGenericsUtil.parameterizeOrAbort(StaticArrayDatabase.class, config);
    db.initialize();
    Relation<DoubleVector> rep = db.getRelation(TypeUtil.DOUBLE_VECTOR_FIELD);

    // verify data set size.
    assertEquals("Data set size doesn't match parameters.", realsize, rep.size());

    double splitval = 0.5;
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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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