voronoi_diagram {ibawds} | R Documentation |
Create a Voronoi Diagram for a Clustering
Description
Create a Voronoi diagram for a given clustering object.
Usage
voronoi_diagram(
cluster,
x,
y,
data = NULL,
show_data = !is.null(data),
colour_data = TRUE,
legend = TRUE,
point_size = 2,
linewidth = 0.7
)
Arguments
cluster |
an object containing the result of a clustering, e.g.,
created by |
x , y |
character giving the names of the variables to be plotted on the x- and y-axis. |
data |
The data that has been used to create the clustering. If this
is provided, the extension of the plot is adapted to the data and the
data points are plotted unless this is suppressed by specifying
|
show_data |
should the data points be plotted? This is |
colour_data |
should the data points be coloured according to the assigned cluster? |
legend |
should a colour legend for the clusters be plotted? |
point_size |
numeric indicating the size of the data points and the cluster centres. |
linewidth |
numeric indicating the width of the lines that separate the areas for the clusters. Set to 0 to show no lines at all. |
Details
The function uses the deldir
package to create the polygons for the
Voronoi diagram. The code has been inspired by ggvoronoi
, which can
handle more complex situations.
References
Garrett et al., ggvoronoi: Voronoi Diagrams and Heatmaps with ggplot2, Journal of Open Source Software 3(32) (2018) 1096, doi:10.21105/joss.01096
Examples
cluster <- kmeans(iris[, 1:4], centers = 3)
voronoi_diagram(cluster, "Sepal.Length", "Sepal.Width", iris)