Extract cluster assignments from hierarchical clustering and add them to a tibble.
Usage
# S3 method for class 'stat_hclust'
collect(x, data = NULL, k = NULL, h = NULL, name = "cluster", ...)
Arguments
- x
A stat_hclust object
- data
A tibble. If NULL, uses the original data.
- k
Integer. Number of clusters to cut tree into.
- h
Numeric. Height at which to cut tree.
- name
Character. Name for cluster assignment column. Default is "cluster".
- ...
Additional arguments (reserved)
Value
A tibble with cluster assignments added
Details
If the tree was already cut during stat_hclust(), those clusters are used
unless k or h is specified here.
Examples
if (FALSE) { # \dontrun{
hc <- boteft %>% stat_hclust()
# Cut and collect
collect(hc, k = 4)
# Different k
collect(hc, k = 5)
# Cut by height
collect(hc, h = 10)
# Custom column name
collect(hc, k = 3, name = "hc_cluster")
} # }
