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\name{map}
\alias{map}
\title{Classification given Probabilities}
\description{
Converts a matrix in which each row sums to 1 to an integer vector
specifying for each row the column index of the maximum.
}
\usage{
map(z, warn = mclust.options("warn"), \dots)
}
\arguments{
\item{z}{
A matrix (for example a matrix of conditional
probabilities in which each row sums to 1
as produced by the E-step of the EM algorithm).
}
\item{warn}{
A logical variable indicating whether or not a warning should be
issued when there are some columns of \code{z} for which no row
attains a maximum.
}
\item{\dots }{
Provided to allow lists with elements other than the arguments can
be passed in indirect or list calls with \code{do.call}.
}
}
\value{
A integer vector with one entry for each row of z,
in which the \emph{i}-th value is the column index at which the
\emph{i}-th row of \code{z} attains a maximum.
}
\seealso{
\code{\link{unmap}},
\code{\link{estep}},
\code{\link{em}},
\code{\link{me}}.
}
\examples{
emEst <- me(modelName = "VVV", data = iris[,-5], z = unmap(iris[,5]))
map(emEst$z)
}
\keyword{cluster}
% docclass is function
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