called a distance) to measure how consistent a candidate cladogram is with the data. Most cladogram algorithms use mathematical optimization. The computational problem to be solved is the minimization of the metric.

Some algorithms are useful only for molecular characteristic data, others only for morphological data, and some only for characteristic data incorporating both. Algorithms for cladograms or phylogenetic trees include least squares,