Package org.apache.mahout.clustering

Examples of org.apache.mahout.clustering.AbstractCluster.asFormatString()

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      int maxIter = 10;
      List<List<Cluster>> clustersList = KMeansClusterer.clusterPoints(points, clusters, measure, maxIter, 0.001);
      clusters = clustersList.get(clustersList.size() - 1);
      for (int c = 0; c < clusters.size(); c++) {
        AbstractCluster cluster = clusters.get(c);
        System.out.println(cluster.asFormatString(null));
        assertEquals("Cluster " + c + " test " + (k + 1), EXPECTED_NUM_POINTS[k][c], cluster.getNumPoints());
      }
    }
  }
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      int maxIter = 10;
      List<List<Cluster>> clustersList = KMeansClusterer.clusterPoints(points, clusters, measure, maxIter, 0.001);
      clusters = clustersList.get(clustersList.size() - 1);
      for (int c = 0; c < clusters.size(); c++) {
        AbstractCluster cluster = clusters.get(c);
        System.out.println(cluster.asFormatString(null));
        assertEquals("Cluster " + c + " test " + (k + 1), EXPECTED_NUM_POINTS[k][c], cluster.getNumPoints());
      }
    }
  }
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      int maxIter = 10;
      List<List<Cluster>> clustersList = KMeansClusterer.clusterPoints(points, clusters, measure, maxIter, 0.001);
      clusters = clustersList.get(clustersList.size() - 1);
      for (int c = 0; c < clusters.size(); c++) {
        AbstractCluster cluster = clusters.get(c);
        System.out.println(cluster.asFormatString(null));
        assertEquals("Cluster " + c + " test " + (k + 1), EXPECTED_NUM_POINTS[k][c], cluster.getNumPoints());
      }
    }
  }
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