Perform hierarchical clustering for heatmap

Usage

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

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. Also supports "cosine" for cosine distance (1 - cosine similarity).
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 than 1 specifying the tree cutpoint as a proportion of the tree height (for non-cosine distances) or as an absolute cosine distance threshold (when dist = "cosine"), or a value greater than or equal to 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.hammill21@gmail.com)

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