clustering: mosaic tools for clustering

In mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities

mosaic tools for clustering

Description

mosaic tools for clustering

Usage

## S3 method for class 'hclust'
fortify(
  model,
  data,
  which = c("segments", "heatmap", "leaves", "labels", "data"),
  k = 1,
  ...
)

## S3 method for class 'hclust'
mplot(
  object,
  data,
  colorize = TRUE,
  k = 1,
  labels = FALSE,
  heatmap = 0,
  enumerate = "white",
  ...
)

Arguments

model	a model
data	a data-like object
which	which kind of fortification to compute
k	number of clusters
...	additional arguments passed on to link{dendro_data}
object	an object of class "hclust"
colorize	whether to show clusters in different colors
labels	a logical indicating whether labels should be used to identify leaves of the tree.
heatmap	the ratio of size of heatmap to size of dendrogram. Use 0 or FALSE to omit the heatmap.
enumerate	a color used for numbers within heatmap. Use "transparent" to hide.

Examples

KidsFeet |> select(-name, -birthmonth) |> rescale() -> KidsFeet2
  M <- dist(KidsFeet2)
  Cl <- hclust(M)
  fortify(Cl, k=5) |> head(3)
  fortify(Cl, which="heatmap", data=KidsFeet2) |> head(3)
  fortify(Cl, which="data", data=KidsFeet2) |> head(3)
  fortify(Cl, which="labels") |> head(3)
  mplot(Cl, data=KidsFeet2, k=4, heatmap=2)
  mplot(Cl, data=KidsFeet2, k=4, heatmap=0.5, enumerate="transparent")
  mplot(Cl, data=KidsFeet2, k=4, heatmap=2, type="triangle")
  mplot(Cl, data=KidsFeet2, k=4, heatmap=0, type="triangle")

mosaic documentation built on May 29, 2024, 5:27 a.m.