Applies hierarchical clustering to a distance matrix computed from a set of
plans and takes the first k splits.
classify_plans(dist_mat, k = 8, method = "complete")An object of class redist_classified, which is a list with two
elements:
A character vector of group labels of the form "I.A.1.a.i",
one for each plan.
A list of splits in the hierarchical clustering. Each list element is a list of two mutually exclusive vectors of plan indices, labeled by their group classification, indicating the plans on each side of the split.
Use plot.redist_classified() for a visual summary.
a distance matrix, the output of plan_distances()
the number of groupings to create
the clustering method to use. See hclust() for options.