Plots for Hierarchical Clustering Learners

Visualizations for hierarchical clusters. The argument type controls what kind of plot is drawn. Possible choices are:

• "dend" (default): Dendrograms using ggdendro package.

• "scree": Scree plot that shows the number of possible clusters on the x-axis and the height on the y-axis.

Usage

# S3 method for LearnerClustHierarchical
autoplot(
  object,
  type = "dend",
  task = NULL,
  theme = theme_minimal(),
  theme_dendro = TRUE,
  ...
)

Arguments

object

(mlr3cluster::LearnerClustAgnes | mlr3cluster::LearnerClustDiana | mlr3cluster::LearnerClustHclust).

type

(character(1)):
Type of the plot. See description.

task

(mlr3::Task)
Optionally, pass the task to add labels of observations to a hclust dendrogram. Labels are set via the row names of the task.

theme

(ggplot2::theme())
The ggplot2::theme_minimal() is applied by default to all plots.

theme_dendro

(logical(1))
If TRUE (default), the special dendrogram theme from ggdendro package is used in plot "dend". Set to FALSE to use the theme passed in theme.

...

(ignored).

Value

ggplot2::ggplot().

Examples

if (requireNamespace("mlr3")) {
  library(mlr3)
  library(mlr3cluster)
  library(mlr3viz)

  task = tsk("usarrests")

  # agnes clustering
  learner = lrn("clust.agnes")
  learner$train(task)
  autoplot(learner)

  # diana clustering
  learner = lrn("clust.diana")
  learner$train(task)
  autoplot(learner)

  # hclust clustering
  learner = lrn("clust.hclust")
  learner$train(task)
  autoplot(learner, type = "scree")
}