mclass(m, n.clust, aux = NULL)

m:

the output of mclust, or else an integer vector corresponding to the tree$merge component of the output of mclust.

n.clust:

number of clusters.

aux:

output from a previous call to mclass for a larger number of clusters.

classification:

an integer vector in which the kth element identifies the classification of the kth object. Each cluster is identified by its lowest-numbered object. Singletons are numbered 0.

n.clust:

number of clusters in the final classification.

mark:

an integer vector accumulated as the merge tree is traversed for the purpose of classification.

years <- c("1960", "1964", "1968", "1972", "1976")
votes.clust <- mclust(votes.repub[,years], method = "S", noise = T)

# plot the awe on the current graphics device to decide
# how many groups there are
plot(x = 1:length(votes.clust$awe), y = votes.clust$awe)
votes.9 <- mclass(votes.clust, 9)
votes.3 <- mclass(votes.clust, 3, votes.9)