Package de.jungblut.distance

Examples of de.jungblut.distance.ManhattanDistance

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        ClusterCenter clusterCenter = new ClusterCenter(key);
        clusterCenter.setClusterIndex(index++);
        centers.add(clusterCenter);
      }
    }
    distanceMeasurer = new ManhattanDistance();
  }
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    result.put(3, new double[] { 0.0, 6.0 });
    result.put(3, new double[] { 6.0, 5.0 });
    result.put(3, new double[] { 6.0, 6.0 });

    List<List<ClusterNode>> clusters = AgglomerativeClustering.cluster(vecs,
        new ManhattanDistance(), true);
    assertEquals(4, clusters.size());
    assertEquals(1, clusters.get(0).size());
    assertEquals(2, clusters.get(1).size());
    assertEquals(3, clusters.get(2).size());
    assertEquals(6, clusters.get(3).size());
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Related Classes of de.jungblut.distance.ManhattanDistance

  • de.jungblut.clustering.AgglomerativeClusteringTest
  • de.jungblut.clustering.mapreduce.KMeansMapper
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