fdm2id: scatterplot – R documentation

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scatterplot

Clustering Scatter Plots

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.

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

`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.

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

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release