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

Package org.apache.mahout.clustering.evaluation

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

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

org.apache.mahout.clustering.evaluation.ClusterEvaluator.intraClusterDensity()
Computes the intra-cluster density as the average distance of the representative points from each other @return the intraClusterDensity of the representativePoints

    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);
  }

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    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);
  }

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    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);
  }

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    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);
  }

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        "clusteredPoints"), output, new EuclideanDistanceMeasure(),
        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");
        writer.flush();

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        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
  public void testCluster0() throws IOException {
    ClusteringTestUtils.writePointsToFile(referenceData, new Path(testdata, "file1"), fs, conf);

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    ClusteringTestUtils.writePointsToFile(referenceData, new Path(testdata, "file1"), fs, conf);
    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
  public void testCluster1() throws IOException {
    ClusteringTestUtils.writePointsToFile(referenceData, new Path(testdata, "file1"), fs, conf);

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    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 {
    ClusteringTestUtils.writePointsToFile(referenceData, new Path(testdata, "file1"), fs, conf);

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    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
   * cluster would have NaN as its intra-cluster density and NaN values are ignored by the evaluator

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