Find the best split in terms of reduction in inertia for the transferred node, indicate by row. Find the terminal node with the greatest change in inertia and bi-partition it.
find_split(
data,
cuts,
frame_row,
cloc,
dist,
variables,
minsplit,
minbucket,
ncores
)Original data set.
Cuts data set, which has the next higher value of each variable in the original data set.
One row of the split tree as data frame.
Vector of current cluster membership.
Distance matrix of all observations in the data. exported function yet. Vector of 1 for all observations.
List of variables selected for clustering procedure. It could be a vector of variable indexes, or a vector of variable names.
The minimum number of observations that must exist in a node in order for a split to be attempted.
The minimum number of observations in any terminal leaf
node. Default is minsplit/3.
Number of CPU cores on the current host.
The updated frame_row with the next split updated.