.BG
.FN clpairs
.TL
Classifications for hierarchical clustering.
.SH DESCRIPTION
Gives classifications corresponding to the stages of hierarchical clustering.
.CS
clpairs(x, partition, symbols, two=T, newframe = T, ...)
.PP
.RA
.AG x
matrix of observations.
.AG partition
a vector of integers indicating a partition of the data.
.OA
.AG symbols
graphics symbols denoting the different groups in the partition (in order
of appearance).
.AG two
logical variable indicating whether or not the two group case should be
displayed as a single plot or a pairs plot. The default `two = T' displays 
is as a single plot.
.AG newframe
logical variable indicating whether or not `frame' should be invoked before
plotting. The default is to invoke `frame'.	
.AG ...
other arguments as specified by `pairs'
.RT
a matrix whose columns are the classifications corresponding to each value of
`nclusters'.
.SA
`pairs', `frame', `mixproj'
.EX
> data <- matrix(aperm(iris, c(1,3,2)), 150, 4)
> cl <- mclass(mclust(data), 3)
> pairs.class(data,cl)
.KW clustering
.WR


