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\name{hclass}
\alias{hclass}
\title{
Classifications from Hierarchical Agglomeration
}
\description{
Determines the classifications corresponding to different numbers of groups
given merge pairs from hierarchical agglomeration.
}
\usage{
hclass(hcPairs, G)
}
\arguments{
\item{hcPairs}{
A numeric two-column matrix in which the \emph{i}th row gives the minimum
index for observations in each of the two clusters merged at the
\emph{i}th stage of agglomerative hierarchical clustering.
}
\item{G}{
An integer or vector of integers giving the number of clusters for which
the corresponding classfications are wanted.
}
}
\value{
A matrix with \code{length(G)} columns, each column
corresponding to a classification. Columns are indexed by the character
representation of the integers in \code{G}.
}
\seealso{
\code{\link{hc}},
\code{\link{hcE}}
}
\examples{
hcTree <- hc(modelName="VVV", data = iris[,-5])
cl <- hclass(hcTree,c(2,3))
\donttest{
par(pty = "s", mfrow = c(1,1))
clPairs(iris[,-5],cl=cl[,"2"])
clPairs(iris[,-5],cl=cl[,"3"])
}
}
\keyword{cluster}
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