Figure 2From: Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates BIC scores for partitioning schemes estimated during empirical testing (lower is better). The k-means methods presented here outperform traditional methods. “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. Note: The “PF-G” score for the McCormack 2013 dataset was obtained using the PartitionFinder relaxed clustering followed by model selection with PhyML as described in the Methods, not the greedy algorithm.Back to article page