Visualizations for mlr3cluster::PredictionClust.
The argument type
controls what kind of plot is drawn.
Possible choices are:
"scatter"
(default): scatterplot with correlation values and colored cluster assignments."sil"
: Silhouette plot with mean silhouette value as the reference line. Requires package ggfortify."pca"
: Perform PCA on data and color code cluster assignments. Inspired by and uses ggfortify::autoplot.kmeans.
Usage
# S3 method for PredictionClust
autoplot(
object,
task,
row_ids = NULL,
type = "scatter",
theme = theme_minimal(),
...
)
Arguments
- object
- task
- row_ids
(
integer()
) Row ids to subset task data to ensure that only the data used to make predictions are shown in plots.- type
(character(1)):
Type of the plot. See description.- theme
(
ggplot2::theme()
)
Theggplot2::theme_minimal()
is applied by default to all plots.- ...
(ignored).
References
Tang Y, Horikoshi M, Li W (2016). “ggfortify: Unified Interface to Visualize Statistical Result of Popular R Packages.” The R Journal, 8(2), 474--485. doi:10.32614/RJ-2016-060 .