Applies hierarchical clustering to a distance matrix computed from a set of
plans and takes the first k splits.
Arguments
- dist_mat
a distance matrix, the output of
plan_distances()- k
the number of groupings to create
- method
the clustering method to use. See
hclust()for options.
Value
An object of class redist_classified, which is a list with two
elements:
- groups
A character vector of group labels of the form
"I.A.1.a.i", one for each plan.- splits
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.