Package de.lmu.ifi.dbs.elki.evaluation.clustering

Examples of de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable.process()

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    // Test F-Measure   
    ByLabelClustering bylabel = new ByLabelClustering();
    Clustering<Model> rbl = bylabel.run(db);
    ClusterContingencyTable ct = new ClusterContingencyTable(true, false);
    ct.process(clustering, rbl);
    double score = ct.getPaircount().f1Measure();
    // We cannot test exactly - due to Hashing, DeLiClu sequence is not
    // identical each time, the results will vary slightly.
    org.junit.Assert.assertTrue(this.getClass().getSimpleName() + ": Score does not match: " + score, score > 0.85);
  }
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    assertEquals(0.5 /* 0.3834296724470135 */, computeFMeasure(rai, rbl, false), Double.MIN_VALUE);
  }

  private double computeFMeasure(Clustering<?> c1, Clustering<?> c2, boolean noise) {
    ClusterContingencyTable ct = new ClusterContingencyTable(true, noise);
    ct.process(c1, c2);
    return ct.getPaircount().f1Measure();
  }
}
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    // Run by-label as reference
    ByLabelClustering bylabel = new ByLabelClustering();
    Clustering<Model> rbl = bylabel.run(database);

    ClusterContingencyTable ct = new ClusterContingencyTable(true, false);
    ct.process(clustering, rbl);
    double score = ct.getPaircount().f1Measure();
    if(logger.isVerbose()) {
      logger.verbose(this.getClass().getSimpleName() + " score: " + score + " expect: " + expected);
    }
    org.junit.Assert.assertEquals(this.getClass().getSimpleName() + ": Score does not match.", expected, score, 0.0001);
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