Examples with Database de.lmu.ifi.dbs.elki.database.Database used on opensource projects

Example 16 with Database

use of de.lmu.ifi.dbs.elki.database.Database in project elki by elki-project.

the class BIRCHLeafClusteringTest method testAverageIntracluster.

@Test
public void testAverageIntracluster() {
    Database db = makeSimpleDatabase(UNITTEST + "single-link-effect.ascii", 638);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(BIRCHLeafClustering.class).with(CFTree.Factory.Parameterizer.DISTANCE_ID, // 
    AverageIntraclusterDistance.class).with(CFTree.Factory.Parameterizer.ABSORPTION_ID, // 
    DiameterCriterion.class).with(CFTree.Factory.Parameterizer.MAXLEAVES_ID, // 
    4).build().run(db);
    testFMeasure(db, clustering, 0.82023);
    testClusterSizes(clustering, new int[] { 158, 224, 256 });
}

Example 17 with Database

use of de.lmu.ifi.dbs.elki.database.Database in project elki by elki-project.

the class CutDendrogramByHeightTest method testSLINKResults.

@Test
public void testSLINKResults() {
    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(CutDendrogramByHeight.class).with(CutDendrogramByHeight.Parameterizer.THRESHOLD_ID, // 
    0.14).with(AbstractAlgorithm.ALGORITHM_ID, // 
    SLINK.class).build().run(db);
    testFMeasure(db, clustering, 0.9474250948);
    testClusterSizes(clustering, new int[] { 1, 1, 1, 1, 1, 2, 3, 62, 104, 154 });
}

Example 18 with Database

use of de.lmu.ifi.dbs.elki.database.Database in project elki by elki-project.

the class HDBSCANHierarchyExtractionTest method testSLINKResults.

@Test
public void testSLINKResults() {
    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);
    HDBSCANHierarchyExtraction slink = // 
    new ELKIBuilder<>(HDBSCANHierarchyExtraction.class).with(HDBSCANHierarchyExtraction.Parameterizer.MINCLUSTERSIZE_ID, // 
    50).with(AbstractAlgorithm.ALGORITHM_ID, // 
    SLINK.class).build();
    testFMeasure(db, slink.run(db), 0.9407684);
    testClusterSizes(slink.run(db), new int[] { 8, 62, 104, 156 });
}

Example 19 with Database

use of de.lmu.ifi.dbs.elki.database.Database in project elki by elki-project.

the class HDBSCANHierarchyExtractionTest method testMiniMaxNNResults.

@Test
public void testMiniMaxNNResults() {
    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);
    HDBSCANHierarchyExtraction slink = // 
    new ELKIBuilder<>(HDBSCANHierarchyExtraction.class).with(HDBSCANHierarchyExtraction.Parameterizer.MINCLUSTERSIZE_ID, // 
    50).with(AbstractAlgorithm.ALGORITHM_ID, // 
    MiniMaxNNChain.class).build();
    testFMeasure(db, slink.run(db), 0.91459);
    testClusterSizes(slink.run(db), new int[] { 0, 59, 112, 159 });
}

Example 20 with Database

use of de.lmu.ifi.dbs.elki.database.Database in project elki by elki-project.

the class HDBSCANHierarchyExtractionTest method testHDBSCANResults.

@Test
public void testHDBSCANResults() {
    Database db = makeSimpleDatabase(UNITTEST + "3clusters-and-noise-2d.csv", 330);
    HDBSCANHierarchyExtraction slink = // 
    new ELKIBuilder<>(HDBSCANHierarchyExtraction.class).with(HDBSCANHierarchyExtraction.Parameterizer.MINCLUSTERSIZE_ID, // 
    50).with(AbstractAlgorithm.ALGORITHM_ID, // 
    HDBSCANLinearMemory.class).with(HDBSCANLinearMemory.Parameterizer.MIN_PTS_ID, // 
    20).build();
    testFMeasure(db, slink.run(db), 0.97218);
    testClusterSizes(slink.run(db), new int[] { 21, 54, 103, 152 });
}