Package net.sf.mzmine.modules.peaklistmethods.dataanalysis.clustering

Examples of net.sf.mzmine.modules.peaklistmethods.dataanalysis.clustering.ClusteringResult


      Enumeration e = dataset.enumerateInstances();
      while (e.hasMoreElements()) {
        clusters.add(clusterer.clusterInstance((Instance) e
            .nextElement()));
      }
      ClusteringResult result = new ClusteringResult(clusters, null,
          clusterer.numberOfClusters(), parameters.getParameter(
              EMClustererParameters.visualization).getValue());
      return result;
    } catch (Exception ex) {
      logger.log(Level.SEVERE, null, ex);
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      // there
      // are more than one cluster the variables in the second cluster are
      // missing.
      // I'm using clusterer.toString() which contains all the clusters in
      // Newick format.
      ClusteringResult result = new ClusteringResult(null,
          clusterer.toString(), clusterer.getNumClusters(), null);
      return result;
    } catch (Exception ex) {
      logger.log(Level.SEVERE, null, ex);
      return null;
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      Enumeration e = dataset.enumerateInstances();
      while (e.hasMoreElements()) {
        clusters.add(clusterer.clusterInstance((Instance) e
            .nextElement()));
      }
      ClusteringResult result = new ClusteringResult(clusters, null,
          clusterer.numberOfClusters(), parameters.getParameter(
              EMClustererParameters.visualization).getValue());
      return result;

    } catch (Exception ex) {
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      Enumeration e = dataset.enumerateInstances();
      while (e.hasMoreElements()) {
        clusters.add(clusterer.clusterInstance((Instance) e
            .nextElement()));
      }
      ClusteringResult result = new ClusteringResult(clusters, null,
          clusterer.numberOfClusters(), parameters.getParameter(
              EMClustererParameters.visualization).getValue());
      return result;

    } catch (Exception ex) {
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