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The algorithm clusters the same data multiple times, and compares the reference cluster to model clusterings.
In this spider diagram, points derived from cluster of interest that are plotted on the x-axis (where y = 0) refer to no difference from the reference cluster.
We used 25 model clusterings to compare with the reference cluster.
For each cluster, values of the variables are averaged over sites that fall within the cluster and then fingerprints are developed by plotting spider diagrams with the log of the ratio of the median value for each variable in the cluster of interest to the median value for sites in the reference cluster (Wayland et al. 2003).
Among these nine clusters, there were eight Native American clusters plus the reference cluster.
Individuals in the reference cluster were not allowed to switch to other clusters during the MCMC runs.
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The quality of the clusterings produced by the tools was compared to the reference clustering using sensitivity (SE) and the Jaccard index (JI).
For this reason we accept that one might argue for the existence of other means to create the reference clustering sets and to perform the cluster analysis.
The three pre-labelled clusters (control, RDX and TNT) served as the reference, and the three clusters derived from the dendrogram trees were compared to the reference clusters to determine matching sample numbers.
Excluding O.sativa, the 3-linkage clustering produced cluster sizes similar to those in the reference clustering.
Each category is thought of as a cluster in the reference clustering.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com