scatterplot: Clustering Scatter Plots

In fdm2id: Data Mining and R Programming for Beginners

Clustering Scatter Plots

Description

Produce a scatter plot for clustering results. If the dataset has more than two dimensions, the scatter plot will show the two first PCA axes.

Usage

scatterplot(
  d,
  clusters,
  centers = NULL,
  labels = FALSE,
  ellipses = FALSE,
  legend = c("auto1", "auto2"),
  ...
)

Arguments

d	The dataset (matrix or data.frame).
clusters	Cluster labels of the training set (vector or factor).
centers	Coordinates of the cluster centers.
labels	Indicates whether or not labels (row names) should be showned on the plot.
ellipses	Indicates whether or not ellipses should be drawned around clusters.
legend	Indicates where the legend is placed on the graphics.
...	Other parameters.

Examples

require (datasets)
data (iris)
km = KMEANS (iris [, -5], k = 3)
scatterplot (iris [, -5], km$cluster)

fdm2id documentation built on July 9, 2023, 6:05 p.m.