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\name{plot.Mclust}
\alias{plot.Mclust}
\title{Plotting method for Mclust model-based clustering}
\description{
Plots for model-based clustering results, such as BIC, classification, uncertainty and density.
}
\usage{
\method{plot}{Mclust}(x, what = c("BIC", "classification", "uncertainty", "density"),
dimens = NULL, xlab = NULL, ylab = NULL,
addEllipses = TRUE, main = FALSE, \dots)
}
\arguments{
\item{x}{
Output from \code{Mclust}.
}
\item{what}{
A string specifying the type of graph requested. Available choices are:
\describe{
\item{\code{"BIC"}}{plot of BIC values used for choosing the number of clusters.}
\item{\code{"classification"} =}{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 \code{dimens}. Ellipses corresponding to covariances of mixture components are also drawn if \code{addEllipses = TRUE}.}
\item{\code{"uncertainty"}}{a plot of classification uncertainty. For data in more than two dimensions a coordinate projection plot is drawn using specified \code{dimens}.}
\item{\code{"density"}}{a plot of estimated density. For data in more than two dimensions a matrix of contours for coordinate projection plot is drawn using specified \code{dimens}.}
}
If not specified, in interactive sessions a menu of choices is proposed.
}
\item{dimens}{
A vector of integers specifying the dimensions of the coordinate projections
in case of \code{"classification"}, \code{"uncertainty"}, or \code{"density"}
plots.
}
\item{xlab, ylab}{
Optional labels for the x-axis and the y-axis.
}
\item{addEllipses}{
A logical indicating whether or not to add ellipses with axes
corresponding to the within-cluster covariances in case of
\code{"classification"} or \code{"uncertainty"} plots.
}
\item{main}{
A logical or \code{NULL} indicating whether or not to add a title
to the plot identifying the type of plot drawn.
}
\item{\dots}{
Other graphics parameters.
}
}
\details{
For more flexibility in plotting, use \code{mclust1Dplot},
\code{mclust2Dplot}, \code{surfacePlot}, \code{coordProj}, or
\code{randProj}.
}
\seealso{
\code{\link{Mclust}},
\code{\link{plot.mclustBIC}},
\code{\link{plot.mclustICL}},
\code{\link{mclust1Dplot}},
\code{\link{mclust2Dplot}},
\code{\link{surfacePlot}},
\code{\link{coordProj}},
\code{\link{randProj}}.
}
\examples{
\donttest{
precipMclust <- Mclust(precip)
plot(precipMclust)
faithfulMclust <- Mclust(faithful)
plot(faithfulMclust)
irisMclust <- Mclust(iris[,-5])
plot(irisMclust)
}
}
\keyword{cluster}
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