docs: private void computeCBLOFs(Relation<O> relation, NumberVectorDistanceFunction<? super O> distance, WritableDoubleDataStore cblofs, DoubleMinMax cblofMinMax, List<? extends Cluster<MeanModel>> largeClusters, List<? extends Cluster<MeanModel>> smallClusters) {
      List<NumberVector> largeClusterMeans = new ArrayList<>(largeClusters.size());
      for(Cluster<MeanModel> largeCluster : largeClusters) {
        NumberVector mean = ModelUtil.getPrototypeOrCentroid(largeCluster.getModel(), relation, largeCluster.getIDs());
        largeClusterMeans.add(mean);
  
        // Compute CBLOF scores for members of large clusters
        for(DBIDIter iter = largeCluster.getIDs().iter(); iter.valid(); iter.advance()) {
          double cblof = computeLargeClusterCBLOF(relation.get(iter), distance, mean, largeCluster);
          storeCBLOFScore(cblofs, cblofMinMax, cblof, iter);
        }
      }
  
      for(Cluster<MeanModel> smallCluster : smallClusters) {
        for(DBIDIter iter = smallCluster.getIDs().iter(); iter.valid(); iter.advance()) {
          double cblof = computeSmallClusterCBLOF(relation.get(iter), distance, largeClusterMeans, smallCluster);
          storeCBLOFScore(cblofs, cblofMinMax, cblof, iter);
        }
      }
    }