Plot model-based clustering results: BIC, classification, uncertainty and (for univariate and bivariate data) density.
# S3 method for Mclust plot(x, what = c("BIC", "classification", "uncertainty", "density"), dimens = NULL, xlab = NULL, ylab = NULL, ylim = NULL, addEllipses = TRUE, main = FALSE, …)
The type of graph requested:
By default, all the above graphs are produced. See the description below.
A vector of length one or two giving the integer dimensions of the
desired coordinate projections for multivariate data in case of
Optional labels for the x-axis and the y-axis.
Optional limits for the vertical axis of the BIC plot.
A logical indicating whether or not to add ellipses with axes corresponding
to the within-cluster covariances in case of
A logical or
NULL indicating whether or not to add a title
to the plot identifying the type of plot drawn.
Other graphics parameters.
Model-based clustering plots:
BIC values used for choosing the number of clusters.
a plot showing the clustering. For data
in more than two dimensions a pairs plot is produced, followed by a
coordinate projection plot using specified
a plot of classification uncertainty. For
data in more than two dimensions a coordinate projection plot is
drawn using specified
a plot of estimated density. For two dimensional a contour plot is drawn, while for data in more than two dimensions a matrix of contours for pairs of variables is produced.
For more flexibility in plotting, use