They represent the divisive hierarchical clustering of a dataset with
binary measurements only.
GENERATION:
This class of objects is returned from
mona.
METHODS:
The
"mona" class has methods for the following generic functions:
print
,
summary,
plot.
STRUCTURE:
A legitimate
mona object is a list with the following components:
ARGUMENTS:
data
matrix with the same dimensions as the original data matrix,
but with factors coded as 0 and 1, and all missing values replaced.
order
a vector giving a permutation of the original observations to allow for
plotting, in the sense that the branches of a clustering tree will not cross.
order.lab
a vector similar to
order, but containing observation labels instead of
observation numbers. This component is only available if the original
observations were labeled.
variable
vector with length n-1, where n is the number of observations,
specifying the variables used to separate the observations of
order.
step
vector with length n-1, where n is the number of observations,
specifying the separation steps at which the observations of
order are
separated.