find_split: Find the Best Split
In vinhtantran/PULS: Partitioning Using Local Subregions

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(
  toclust.fd,
  frame_row,
  cloc,
  dist,
  dsubs,
  dsubsname,
  weights,
  minbucket,
  minsplit,
  spliton,
  method
)

`toclust.fd`	A functional data object (i.e., having class `fd`) created from `fda` package. See `fda::fd()`.
`frame_row`	One row of the split tree as data frame.
`cloc`	Vector of current cluster membership.
`dist`	Distance matrix of all observations in the data.
`dsubs`	Distance matrix calculated on each subregion. A three-dimensional matrix.
`dsubsname`	Subregion names.
`weights`	(Currently unused) Weights on observations.
`minbucket`	The minimum number of data points in one cluster allowed.
`minsplit`	The minimum number of observations that must exist in a node in order for a split to be attempted.
`spliton`	Restrict the partitioning on a specific set of subregions.
`method`	The clustering method you want to run in each subregion. Can be chosen between `pam` and `ward`.