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

Package org.apache.mahout.clustering.evaluation

Class org.apache.mahout.clustering.evaluation.ClusterEvaluator

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

org.apache.mahout.clustering.evaluation.ClusterEvaluator.interClusterDensity()
Computes the inter-cluster density as defined in "Mahout In Action" @return the interClusterDensity

    Path clustersIn = new Path(output, "clusters-10");
    RepresentativePointsDriver.run(conf, clustersIn, new Path(output, "clusteredPoints"), output, measure, numIterations, true);
    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());
    printRepPoints(numIterations);
  }


  @Test
  public void testDirichlet() throws Exception {

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                                   numIterations,
                                   true);
    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());
    printRepPoints(numIterations);
  }


}

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        });
        conf.set(RepresentativePointsDriver.DISTANCE_MEASURE_KEY, measure.getClass().getName());
        conf.set(RepresentativePointsDriver.STATE_IN_KEY, "tmp/representative/representativePoints-" + numIters);
        ClusterEvaluator ce = new ClusterEvaluator(conf, seqFileDir);
        writer.append("\n");
        writer.append("Inter-Cluster Density: ").append(String.valueOf(ce.interClusterDensity())).append("\n");
        writer.append("Intra-Cluster Density: ").append(String.valueOf(ce.intraClusterDensity())).append("\n");
        CDbwEvaluator cdbw = new CDbwEvaluator(conf, seqFileDir);
        writer.append("CDbw Inter-Cluster Density: ").append(String.valueOf(cdbw.interClusterDensity())).append("\n");
        writer.append("CDbw Intra-Cluster Density: ").append(String.valueOf(cdbw.intraClusterDensity())).append("\n");
        writer.append("CDbw Separation: ").append(String.valueOf(cdbw.separation())).append("\n");

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        "clusteredPoints"), output, measure, numIterations, true);
    printRepPoints(numIterations);
    ClusterEvaluator evaluatorSeq = new ClusterEvaluator(conf, clustersIn);
    // compare results
    assertEquals("InterCluster Density", evaluatorMR.interClusterDensity(),
        evaluatorSeq.interClusterDensity(), EPSILON);
    assertEquals("IntraCluster Density", evaluatorMR.intraClusterDensity(),
        evaluatorSeq.intraClusterDensity(), EPSILON);
  }
  
  @Test

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    DistanceMeasure measure = new EuclideanDistanceMeasure();
    initData(1, 0.25, 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

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    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

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    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);
  }
  
  @Test

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    List<VectorWritable> points = Lists.newArrayList();
    representativePoints.put(cluster.getId(), points);
    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

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        new DenseVector(new double[] {1, 1}))));
    representativePoints.put(cluster.getId(), points);
    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);
  }
  
  /**

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    points.add(new VectorWritable(cluster.getCenter()));
    representativePoints.put(cluster.getId(), points);
    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

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