.BG
.FN partuniq
.TL
Classifies Data According to Unique Observations
.SH DESCRIPTION
Gives a one-to-one mapping from unique observations to rows of a data matrix.
.CS
partuniq(x)
.PP
.RA
.AG x
Matrix of observations.
.RT
A vector of length `nrow(x)' with integer entries. An observation `k' is
assigned an integer `i' whenever observation `i' is the first row of `x'
that is identical to observation `k' (note that `i <= k').
.EX
> data <- matrix(aperm(iris, c(1,3,2)), 150, 4)
> mhtree(x, partition = partuniq(x))

.KW 
.WR

