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\name{combiTree}
\alias{combiTree}
\title{Tree structure obtained from combining mixture components}
\description{The method implemented in \code{\link{clustCombi}} can be used for combining Gaussian mixture components for clustering. This provides a hierarchical structure which can be graphically represented as a tree.}
\usage{
combiTree(object, type = c("triangle", "rectangle"),
yaxis = c("entropy", "step"),
edgePar = list(col = "darkgray", lwd = 2),
\dots)
}
\arguments{
\item{object}{
An object of class \code{'clustCombi'} resulting from a call to \code{\link{clustCombi}}.
}
\item{type}{
A string specifying the dendrogram's type. Possible values are \code{"triangle"} (default), and \code{"rectangle"}.
}
\item{yaxis}{
A string specifying the quantity used to draw the vertical axis. Possible values are \code{"entropy"} (default), and \code{"step"}.
}
\item{edgePar}{
A list of plotting parameters. See \code{\link[stats]{dendrogram}}.
}
\item{\dots}{Further arguments passed to or from other methods.}
}
%\details{}
\value{
The function always draw a tree and invisibly returns an object of class \code{'dendrogram'} for fine tuning.
}
%\references{}
\author{L. Scrucca}
%\note{}
\seealso{\code{\link{clustCombi}}}
\examples{
\donttest{
data(Baudry_etal_2010_JCGS_examples)
output <- clustCombi(data = ex4.1)
combiTree(output)
combiTree(output, type = "rectangle")
combiTree(output, yaxis = "step")
combiTree(output, type = "rectangle", yaxis = "step")
}
}
\keyword{cluster}
\keyword{hplot}
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