The strict and relaxed clustering algorithms are computationally much more efficient than the greedy algorithm. This figure shows the time taken by the relaxed and strict hierarchical clustering algorithms on the 10 datasets shown in Table 1, relative to the time taken by the greedy algorithm. All times are standardised by the time taken by the greedy algorithm, so that performance can be compared across datasets. Thus, the greedy algorithm always scores 100%, and is shown only for reference. Each line connects the results from a single dataset. The results show that the relaxed clustering algorithm (with 10% of schemes analysed) consistently takes about 10% of the time taken by the greedy algorithm, and that the strict hierarchical clustering algorithm takes between around 1% to 20% of the time taken by the greedy algorithm, depending on the dataset. All analyses use the RAxML version of PartitionFinder.