Figure 6From: Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates Average number of parameters per subset for different partitioning scheme estimation methods using BIC. Each line represents a different empirical dataset. “None” is no partitioning, “All” is the user partitioning scheme, “PF-G” is the PartitionFinder greedy algorithm, “TIGER” is iterative k-means using TIGER site rates, “Likelihood” is iterative k-means using likelihood site rates. The parameters per subset decrease for the k-means methods.Back to article page