Applies hierarchical clustering to a distance matrix computed from a set of
plans and takes the first
classify_plans(dist_mat, k = 8, method = "complete")
a distance matrix, the output of
the number of groupings to create
the clustering method to use. See
hclust() for options.
An object of class
redist_classified, which is a list with two
A character vector of group labels of the form
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.
plot.redist_classified() for a visual summary.