Performs hierarchical clustering with tidy output
Usage
tidy_hclust(data, method = "average", distance = "euclidean", cols = NULL)
Arguments
- data
A data frame, tibble, or dist object
- method
Agglomeration method: "ward.D2",
"single", "complete", "average" (default),
"mcquitty", "median", "centroid"
- distance
Distance metric if data is not a
dist object (default: "euclidean")
- cols
Columns to include (tidy select).
If NULL, uses all numeric columns.
Value
A list of class "tidy_hclust" containing:
model: hclust object
dist: distance matrix used
method: linkage method used
data: original data (for plotting)
Examples
# Basic hierarchical clustering
hc_result <- tidy_hclust(USArrests, method = "average")
# With specific distance
hc_result <- tidy_hclust(mtcars, method = "complete", distance = "manhattan")
