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

Example 71 with ELKIBuilder

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

the class MiniMaxAnderbergTest method testMiniMax2.

/**
 * Run agglomerative hierarchical clustering with fixed parameters and compare
 * the result to a golden standard.
 */
@Test
public void testMiniMax2() {
    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(CutDendrogramByNumberOfClusters.class).with(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID, // 
    3).with(AbstractAlgorithm.ALGORITHM_ID, // 
    MiniMaxAnderberg.class).build().run(db);
    testFMeasure(db, clustering, 0.914592130);
    testClusterSizes(clustering, new int[] { 59, 112, 159 });
}

Example 72 with ELKIBuilder

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

the class BIRCHLeafClusteringTest method testRadius.

@Test
public void testRadius() {
    Database db = makeSimpleDatabase(UNITTEST + "single-link-effect.ascii", 638);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(BIRCHLeafClustering.class).with(CFTree.Factory.Parameterizer.ABSORPTION_ID, // 
    RadiusCriterion.class).with(CFTree.Factory.Parameterizer.MAXLEAVES_ID, // 
    4).build().run(db);
    testFMeasure(db, clustering, 0.92082);
    testClusterSizes(clustering, new int[] { 82, 154, 200, 202 });
}

Example 73 with ELKIBuilder

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

the class BIRCHLeafClusteringTest method testDiameter.

@Test
public void testDiameter() {
    Database db = makeSimpleDatabase(UNITTEST + "single-link-effect.ascii", 638);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(BIRCHLeafClustering.class).with(CFTree.Factory.Parameterizer.ABSORPTION_ID, // 
    DiameterCriterion.class).with(CFTree.Factory.Parameterizer.MAXLEAVES_ID, // 
    4).build().run(db);
    testFMeasure(db, clustering, 0.93866);
    testClusterSizes(clustering, new int[] { 200, 211, 227 });
}

Example 74 with ELKIBuilder

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

the class BIRCHLeafClusteringTest method testEuclideanDistance.

@Test
public void testEuclideanDistance() {
    Database db = makeSimpleDatabase(UNITTEST + "single-link-effect.ascii", 638);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(BIRCHLeafClustering.class).with(CFTree.Factory.Parameterizer.ABSORPTION_ID, // 
    EuclideanDistanceCriterion.class).with(CFTree.Factory.Parameterizer.MAXLEAVES_ID, // 
    4).build().run(db);
    testFMeasure(db, clustering, 0.93023);
    testClusterSizes(clustering, new int[] { 75, 161, 200, 202 });
}

Example 75 with ELKIBuilder

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

the class FourCTest method testFourCOverlap.

/**
 * Run 4C with fixed parameters and compare the result to a golden standard.
 */
@Test
public void testFourCOverlap() {
    Database db = makeSimpleDatabase(UNITTEST + "correlation-overlap-3-5d.ascii", 650);
    Clustering<Model> result = // 
    new ELKIBuilder<FourC<DoubleVector>>(FourC.class).with(DBSCAN.Parameterizer.EPSILON_ID, // 
    3).with(DBSCAN.Parameterizer.MINPTS_ID, // 
    50).with(LimitEigenPairFilter.Parameterizer.EIGENPAIR_FILTER_DELTA, // 
    0.5).with(FourC.Settings.Parameterizer.LAMBDA_ID, // 
    3).build().run(db);
    testFMeasure(db, result, 0.9073744);
    testClusterSizes(result, new int[] { 200, 202, 248 });
}