Perform hierarchical clustering for heatmap

heat_map_clust(
  x,
  tree = "row",
  dist = "euclidean",
  method = "complete",
  scale = FALSE,
  cut = NULL,
  ...
)

Arguments

x: matrix-like object to cluster. The distance matrix will be computed using dist and passed to hclust for hierarchical clustering.
tree: indicates whether hierarchical clustering should be performed by "row" or "column". Optionally a custom object of class "dist" or "hclust" which will be updated with cluster labels as specified by cut.
dist: method passed to dist to compute distance matrix, set to "euclidean" by default.
method: agglomeration method passed to hclust to perform hierarchical clustering, set to "complete" by default.
scale: logical indicating whether branch heights should be scaled for better visualisation, set to FALSE by default.
cut: value less one specifying the tree cutpoint as a proportion of the tree height or a value greater than 1 indicating the number of desired clusters.
...: additional arguments passed to dist or hclust.

object of class hclust which describes the tree produced by the clustering process.

Dillon Hammill (Dillon.Hammill@anu.edu.au)

# Hierarchical clustering
heat_map_hclust <- heat_map_clust(mtcars, cut = 5)