Figure 7

Classification of hierarchical workflow clustering strategies for the my Experiment dataset ( n =  100). This classification is shown for four weighted and four unweighted workflow encoding types (I, II, III and IV) discussed in this article, the cosine and Euclidean distances and four different hierarchical clustering algorithms (Fitch, Kirsch, NJ and UPGMA). The use of the weighted type of encoding is indicated by the letter “w” preceding the method’s name, while the encoding type is indicated by the corresponding number. The reference taxon represents the optimal tree clustering.