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

Example 81 with Database

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

the class PROCLUSTest method testPROCLUSResults.

/**
 * Run PROCLUS with fixed parameters and compare the result to a golden
 * standard.
 */
@Test
public void testPROCLUSResults() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-simple.csv", 600);
    Clustering<?> result = // 
    new ELKIBuilder<PROCLUS<DoubleVector>>(PROCLUS.class).with(PROCLUS.Parameterizer.L_ID, // 
    1).with(PROCLUS.Parameterizer.K_ID, // 
    4).with(PROCLUS.Parameterizer.SEED_ID, // 
    12).build().run(db);
    testFMeasure(db, result, 0.88499877);
    testClusterSizes(result, new int[] { 22, 36, 200, 342 });
}

Example 82 with Database

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

the class PROCLUSTest method testPROCLUSSubspaceOverlapping.

/**
 * Run PROCLUS with fixed parameters and compare the result to a golden
 * standard.
 */
@Test
public void testPROCLUSSubspaceOverlapping() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);
    Clustering<?> result = // 
    new ELKIBuilder<PROCLUS<DoubleVector>>(PROCLUS.class).with(PROCLUS.Parameterizer.L_ID, // 
    2).with(PROCLUS.Parameterizer.K_ID, // 
    3).with(PROCLUS.Parameterizer.SEED_ID, // 
    3).build().run(db);
    testFMeasure(db, result, 0.96985144);
    testClusterSizes(result, new int[] { 150, 288, 412 });
}

Example 83 with Database

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

the class SUBCLUTest method testSUBCLUResults.

/**
 * Run SUBCLU with fixed parameters and compare the result to a golden
 * standard.
 */
@Test
public void testSUBCLUResults() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-simple.csv", 600);
    Clustering<SubspaceModel> result = // 
    new ELKIBuilder<SUBCLU<DoubleVector>>(SUBCLU.class).with(SUBCLU.EPSILON_ID, // 
    0.001).with(SUBCLU.MINPTS_ID, // 
    100).build().run(db);
    // PairCounting is not appropriate here: overlapping clusterings!
    // testFMeasure(db, result, 0.9090);
    testClusterSizes(result, new int[] { 191, 194, 395 });
}

Example 84 with Database

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

the class SUBCLUTest method testSUBCLUSubspaceOverlapping.

/**
 * Run SUBCLU with fixed parameters and compare the result to a golden
 * standard.
 */
@Test
public void testSUBCLUSubspaceOverlapping() {
    Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);
    Clustering<SubspaceModel> result = // 
    new ELKIBuilder<SUBCLU<DoubleVector>>(SUBCLU.class).with(SUBCLU.EPSILON_ID, // 
    0.04).with(SUBCLU.MINPTS_ID, // 
    70).build().run(db);
    // PairCounting is not appropriate here: overlapping clusterings!
    // testFMeasure(db, result, 0.49279033);
    testClusterSizes(result, new int[] { 99, 247, 303, 323, 437, 459 });
}

Example 85 with Database

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

the class KMeansPlusPlusInitialMeansTest method testSingleAssignmentKMeansPlusPlus.

/**
 * Run KMeans with fixed parameters and compare the result to a golden
 * standard.
 */
@Test
public void testSingleAssignmentKMeansPlusPlus() {
    Database db = makeSimpleDatabase(UNITTEST + "different-densities-2d-no-noise.ascii", 1000);
    Clustering<?> result = // 
    new ELKIBuilder<SingleAssignmentKMeans<DoubleVector>>(SingleAssignmentKMeans.class).with(KMeans.K_ID, // 
    5).with(KMeans.SEED_ID, // 
    3).with(KMeans.INIT_ID, // 
    KMeansPlusPlusInitialMeans.class).build().run(db);
    testFMeasure(db, result, 0.99800500);
    testClusterSizes(result, new int[] { 199, 200, 200, 200, 201 });
}