Description Usage Arguments Value Examples
Removes the subtree rooted at the specified node from a hierarchical clustering model generated by one of mcdc, mddc and ncutdc.
1 | tree_prune(sol, node)
|
sol |
a clustering solution arising from one of the functions mcdc, mddc and ncutdc. |
node |
the node at which to prune the hierarchy. can be either an integer specifying the node number in sol$nodes or a vector of length two specifying c(depth, position at depth) of the node. |
a list with the same components as sol.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## load the optidigits dataset
data(optidigits)
## cluster using minimum normalised cut hyperplanes,
## assuming no domain knowledge begin with 12 clusters
sol <- ncutdc(optidigits$x, 13)
## the node numbered 4 has been split,
## yet it appears there may not be multiple clusters present.
## inspect this node more closely
plot(sol, node = 4)
## remove this node from the model
sol_new <- tree_prune(sol, 4)
## compare the solutions using external cluster validity metrics
cluster_performance(sol$cluster, optidigits$c)
cluster_performance(sol_new$cluster, optidigits$c)
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