Figure 5

HCA - distance plot. In hierarchical cluster analysis, a simple but powerful way to assess the "true" number of clusters of a dataset is a visual analysis of each possible cluster number set in relation to the distance (similarity) between two clusters that will be merged. An optimal solution can be identified by searching a "knee" in the plot. In this example this can be identified around the 10-cluster solution.