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

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

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    RepresentativePointsDriver.run(conf, clustersIn, new Path(output, "clusteredPoints"), output, measure,
        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 {

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    RepresentativePointsDriver.run(conf, clustersIn, new Path(kmeansOutput, "clusteredPoints"), kmeansOutput, measure,
        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 {

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    RepresentativePointsDriver.run(conf, clustersIn, new Path(fuzzyKMeansOutput, "clusteredPoints"), fuzzyKMeansOutput,
        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());
  }
  
}

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