Examples with OutlierResult de.lmu.ifi.dbs.elki.result.outlier.OutlierResult used on opensource projects

Example 36 with OutlierResult

use of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult in project elki by elki-project.

the class ParallelSimplifiedLOFTest method testParallelSimplifiedLOF.

@Test
public void testParallelSimplifiedLOF() {
    Database db = makeSimpleDatabase(UNITTEST + "outlier-axis-subspaces-6d.ascii", 1345);
    OutlierResult result = // 
    new ELKIBuilder<ParallelSimplifiedLOF<DoubleVector>>(ParallelSimplifiedLOF.class).with(LOF.Parameterizer.K_ID, 10).build().run(db);
    testAUC(db, "Noise", result, 0.8892549019);
    testSingleScore(result, 1293, 1.3025894);
}

Example 37 with OutlierResult

use of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult 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 38 with OutlierResult

use of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult 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 39 with OutlierResult

use of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult 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 40 with OutlierResult

use of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult 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);
}