scatterplot {fdm2id}R Documentation

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)

[Package fdm2id version 0.9.9 Index]