Examples with ELKIBuilder de.lmu.ifi.dbs.elki.utilities.ELKIBuilder used on opensource projects

Example 46 with ELKIBuilder

use of de.lmu.ifi.dbs.elki.utilities.ELKIBuilder in project elki by elki-project.

the class FeatureBaggingTest method testFeatureBaggingBreadth.

@Test
public void testFeatureBaggingBreadth() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);
    OutlierResult result = // 
    new ELKIBuilder<>(FeatureBagging.class).with(LOF.Parameterizer.K_ID, // 
    10).with(FeatureBagging.Parameterizer.NUM_ID, // 
    10).with(FeatureBagging.Parameterizer.SEED_ID, // 
    5).with(// 
    FeatureBagging.Parameterizer.BREADTH_ID).build().run(db);
    testAUC(db, "Noise", result, 0.92470588);
    testSingleScore(result, 1293, 1.2047264);
}

Example 47 with ELKIBuilder

use of de.lmu.ifi.dbs.elki.utilities.ELKIBuilder in project elki by elki-project.

the class AggarwalYuEvolutionaryTest method testAggarwalYuEvolutionary.

@Test
public void testAggarwalYuEvolutionary() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);
    OutlierResult result = // 
    new ELKIBuilder<AggarwalYuEvolutionary<DoubleVector>>(AggarwalYuEvolutionary.class).with(AggarwalYuEvolutionary.Parameterizer.K_ID, // 
    2).with(AggarwalYuEvolutionary.Parameterizer.PHI_ID, // 
    8).with(AggarwalYuEvolutionary.Parameterizer.M_ID, // 
    20).with(AggarwalYuEvolutionary.Parameterizer.SEED_ID, // 
    0).build().run(db);
    testAUC(db, "Noise", result, 0.653888888888);
    testSingleScore(result, 945, 0.0);
}

Example 48 with ELKIBuilder

use of de.lmu.ifi.dbs.elki.utilities.ELKIBuilder in project elki by elki-project.

the class SODTest method testSOD.

@Test
public void testSOD() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);
    OutlierResult result = // 
    new ELKIBuilder<SOD<DoubleVector>>(SOD.class).with(SOD.Parameterizer.KNN_ID, // 
    25).with(SharedNearestNeighborPreprocessor.Factory.NUMBER_OF_NEIGHBORS_ID, // 
    19).build().run(db);
    testSingleScore(result, 1293, 1.5167500);
    testAUC(db, "Noise", result, 0.949131652);
}

Example 49 with ELKIBuilder

use of de.lmu.ifi.dbs.elki.utilities.ELKIBuilder in project elki by elki-project.

the class AggarwalYuNaiveTest method testAggarwalYuNaive.

@Test
public void testAggarwalYuNaive() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-3d-3clusters.ascii", 960);
    OutlierResult result = // 
    new ELKIBuilder<AggarwalYuNaive<DoubleVector>>(AggarwalYuNaive.class).with(AggarwalYuNaive.Parameterizer.K_ID, // 
    2).with(AggarwalYuNaive.Parameterizer.PHI_ID, // 
    8).build().run(db);
    testAUC(db, "Noise", result, 0.9007777777777);
    testSingleScore(result, 945, -2.862640213982);
}

Example 50 with ELKIBuilder

use of de.lmu.ifi.dbs.elki.utilities.ELKIBuilder in project elki by elki-project.

the class CASHTest method testCASHResults.

/**
 * Run CASH with fixed parameters and compare the result to a golden standard.
 */
@Test
public void testCASHResults() {
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-3d2d1d.csv", 600);
    Clustering<Model> result = // 
    new ELKIBuilder<CASH<DoubleVector>>(CASH.class).with(CASH.Parameterizer.JITTER_ID, // 
    0.7).with(CASH.Parameterizer.MINPTS_ID, // 
    50).with(CASH.Parameterizer.MAXLEVEL_ID, // 
    25).with(// 
    CASH.Parameterizer.ADJUST_ID).build().run(db);
    // with hierarchical pairs: 0.64102
    testFMeasure(db, result, 0.50074);
    testClusterSizes(result, new int[] { 18, 80, 252, 468 });
}