Package com.dawidweiss.carrot.core.local.clustering

Examples of com.dawidweiss.carrot.core.local.clustering.RawCluster

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      final List outputClusters = output.clusters;
      final HitsCluster [] clusters = new HitsCluster[ outputClusters.size() ];

      int j = 0;
      for (Iterator i = outputClusters.iterator(); i.hasNext(); j++) {
        RawCluster rcluster = (RawCluster) i.next();
        clusters[j] = new HitsClusterAdapter(rcluster, hitDetails);
      }

      // invoke Carrot2 process here.
      return clusters;
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        subclusters = null;
      } else {
        subclusters = new HitsCluster[rawSubclusters.size()];
        int j = 0;
        for (Iterator i = rawSubclusters.iterator(); i.hasNext(); j++) {
          RawCluster c = (RawCluster) i.next();
          subclusters[j] = new HitsClusterAdapter(c, hits);
        }
      }
    }
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        subclusters = null;
      } else {
        subclusters = new HitsCluster[rawSubclusters.size()];
        int j = 0;
        for (Iterator i = rawSubclusters.iterator(); i.hasNext(); j++) {
          RawCluster c = (RawCluster) i.next();
          subclusters[j] = new HitsClusterAdapter(c, hits);
        }
      }
    }
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      List outputClusters = output.clusters;
      HitsCluster [] clusters = new HitsCluster[ outputClusters.size() ];

      int j = 0;
      for (Iterator i = outputClusters.iterator(); i.hasNext(); j++) {
        RawCluster rcluster = (RawCluster) i.next();
        clusters[j] = new HitsClusterAdapter(rcluster, hitDetails);
      }

      // invoke Carrot2 process here.
      return clusters;
View Full Code Here
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      List outputClusters = output.clusters;
      HitsCluster [] clusters = new HitsCluster[ outputClusters.size() ];

      int j = 0;
      for (Iterator i = outputClusters.iterator(); i.hasNext(); j++) {
        RawCluster rcluster = (RawCluster) i.next();
        clusters[j] = new HitsClusterAdapter(rcluster, hitDetails);
      }

      // invoke Carrot2 process here.
      return clusters;
View Full Code Here
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        subclusters = null;
      } else {
        subclusters = new HitsCluster[rawSubclusters.size()];
        int j = 0;
        for (Iterator i = rawSubclusters.iterator(); i.hasNext(); j++) {
          RawCluster c = (RawCluster) i.next();
          subclusters[j] = new HitsClusterAdapter(c, hits);
        }
      }
    }
View Full Code Here
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        subclusters = null;
      } else {
        subclusters = new HitsCluster[rawSubclusters.size()];
        int j = 0;
        for (Iterator i = rawSubclusters.iterator(); i.hasNext(); j++) {
          RawCluster c = (RawCluster) i.next();
          subclusters[j] = new HitsClusterAdapter(c, hits);
        }
      }
    }
View Full Code Here
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      final List outputClusters = output.clusters;
      final HitsCluster [] clusters = new HitsCluster[ outputClusters.size() ];

      int j = 0;
      for (Iterator i = outputClusters.iterator(); i.hasNext(); j++) {
        RawCluster rcluster = (RawCluster) i.next();
        clusters[j] = new HitsClusterAdapter(rcluster, hitDetails);
      }

      // invoke Carrot2 process here.
      return clusters;
View Full Code Here
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Related Classes of com.dawidweiss.carrot.core.local.clustering.RawCluster

  • net.nutch.clustering.carrot2.Clusterer
  • net.nutch.clustering.carrot2.HitsClusterAdapter
  • org.apache.nutch.clustering.carrot2.Clusterer
  • org.apache.nutch.clustering.carrot2.HitsClusterAdapter
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