List of interClusterDensity() Examples

Examples of interClusterDensity()

org.apache.mahout.clustering.cdbw.CDbwEvaluator.interClusterDensity()
This function evaluates the average density of points in the regions between clusters (eqn 1). The goal is the density in the area between clusters to be significant low. @return a double
org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()
Computes the inter-cluster density as defined in "Mahout In Action" @return the interClusterDensity

Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

  public void testCluster1() throws IOException {
    ClusteringTestUtils.writePointsToFile(referenceData, new Path(testdata, "file1"), fs, conf);
    DistanceMeasure measure = new EuclideanDistanceMeasure();
    initData(1, 0.5, measure);
    ClusterEvaluator evaluator = new ClusterEvaluator(representativePoints, clusters, measure);
    assertEquals("inter cluster density", 0.33333333333333315, evaluator.interClusterDensity(), EPSILON);
    assertEquals("intra cluster density", 0.3656854249492381, evaluator.intraClusterDensity(), EPSILON);
  }
  
  @Test
  public void testCluster2() throws IOException {

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

  public void testCluster2() throws IOException {
    ClusteringTestUtils.writePointsToFile(referenceData, new Path(testdata, "file1"), fs, conf);
    DistanceMeasure measure = new EuclideanDistanceMeasure();
    initData(1, 0.75, measure);
    ClusterEvaluator evaluator = new ClusterEvaluator(representativePoints, clusters, measure);
    assertEquals("inter cluster density", 0.33333333333333315, evaluator.interClusterDensity(), EPSILON);
    assertEquals("intra cluster density", 0.3656854249492381, evaluator.intraClusterDensity(), EPSILON);
  }
  
  /**
   * adding an empty cluster should modify the inter cluster density but not change the intra-cluster density as that

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

    Canopy cluster = new Canopy(new DenseVector(new double[] {10, 10}), 19, measure);
    clusters.add(cluster);
    List<VectorWritable> points = Lists.newArrayList();
    representativePoints.put(cluster.getId(), points);
    ClusterEvaluator evaluator = new ClusterEvaluator(representativePoints, clusters, measure);
    assertEquals("inter cluster density", 0.371534146934532, evaluator.interClusterDensity(), EPSILON);
    assertEquals("intra cluster density", 0.3656854249492381, evaluator.intraClusterDensity(), EPSILON);
  }
  
  /**
   * adding an single-valued cluster should modify the inter cluster density but not change the intra-cluster density as

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

    clusters.add(cluster);
    List<VectorWritable> points = Lists.newArrayList();
    points.add(new VectorWritable(cluster.getCenter().plus(new DenseVector(new double[] {1, 1}))));
    representativePoints.put(cluster.getId(), points);
    ClusterEvaluator evaluator = new ClusterEvaluator(representativePoints, clusters, measure);
    assertEquals("inter cluster density", 0.3656854249492381, evaluator.interClusterDensity(), EPSILON);
    assertEquals("intra cluster density", 0.3656854249492381, evaluator.intraClusterDensity(), EPSILON);
  }
  
  /**
   * Representative points extraction will duplicate the cluster center if the cluster has no assigned points. These

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

    points.add(new VectorWritable(cluster.getCenter()));
    points.add(new VectorWritable(cluster.getCenter()));
    points.add(new VectorWritable(cluster.getCenter()));
    representativePoints.put(cluster.getId(), points);
    ClusterEvaluator evaluator = new ClusterEvaluator(representativePoints, clusters, measure);
    assertEquals("inter cluster density", 0.3656854249492381, evaluator.interClusterDensity(), EPSILON);
    assertEquals("intra cluster density", 0.3656854249492381, evaluator.intraClusterDensity(), EPSILON);
  }
  
  @Test
  public void testCanopy() throws Exception {

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

        numIterations, true);
    //printRepPoints(numIterations);
    ClusterEvaluator evaluator = new ClusterEvaluator(conf, clustersIn);
    // now print out the Results
    System.out.println("Intra-cluster density = " + evaluator.intraClusterDensity());
    System.out.println("Inter-cluster density = " + evaluator.interClusterDensity());
  }
  
  @Test
  public void testKmeans() throws Exception {
    ClusteringTestUtils.writePointsToFile(sampleData, new Path(testdata, "file1"), fs, conf);

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

        numIterations, true);
    RepresentativePointsDriver.printRepresentativePoints(kmeansOutput, numIterations);
    ClusterEvaluator evaluator = new ClusterEvaluator(conf, clustersIn);
    // now print out the Results
    System.out.println("Intra-cluster density = " + evaluator.intraClusterDensity());
    System.out.println("Inter-cluster density = " + evaluator.interClusterDensity());
  }
  
  @Test
  public void testFuzzyKmeans() throws Exception {
    ClusteringTestUtils.writePointsToFile(sampleData, new Path(testdata, "file1"), fs, conf);

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

        measure, numIterations, true);
    RepresentativePointsDriver.printRepresentativePoints(fuzzyKMeansOutput, numIterations);
    ClusterEvaluator evaluator = new ClusterEvaluator(conf, clustersIn);
    // now print out the Results
    System.out.println("Intra-cluster density = " + evaluator.intraClusterDensity());
    System.out.println("Inter-cluster density = " + evaluator.interClusterDensity());
  }
  
  @Test
  public void testMeanShift() throws Exception {
    ClusteringTestUtils.writePointsToFile(sampleData, new Path(testdata, "file1"), fs, conf);

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

        numIterations, true);
    //printRepPoints(numIterations);
    ClusterEvaluator evaluator = new ClusterEvaluator(conf, clustersIn);
    // now print out the Results
    System.out.println("Intra-cluster density = " + evaluator.intraClusterDensity());
    System.out.println("Inter-cluster density = " + evaluator.interClusterDensity());
  }
  
  @Test
  public void testDirichlet() throws Exception {
    ClusteringTestUtils.writePointsToFile(sampleData, new Path(testdata, "file1"), fs, conf);

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Examples of org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()

        new EuclideanDistanceMeasure(), numIterations, true);
    //printRepPoints(numIterations);
    ClusterEvaluator evaluator = new ClusterEvaluator(conf, clustersIn);
    // now print out the Results
    System.out.println("Intra-cluster density = " + evaluator.intraClusterDensity());
    System.out.println("Inter-cluster density = " + evaluator.interClusterDensity());
  }
  
}

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