List of intraClusterDensity() Examples

Examples of intraClusterDensity()

org.apache.mahout.clustering.cdbw.CDbwEvaluator.intraClusterDensity()
The average density within clusters is defined as the percentage of representative points that reside in the neighborhood of the clusters' centers. The goal is the density within clusters to be significantly high. (eqn 5) @return a double
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

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

    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);
  }
  
  /**
   * Representative points extraction will duplicate the cluster center if the
   * cluster has no assigned points. These clusters should be ignored like empty

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

    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 testCanopy() throws Exception {
    ClusteringTestUtils.writePointsToFile(sampleData, new Path(testdata,

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

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

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

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

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

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

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

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

    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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