Monothetic Analysis (MONA) Object
The objects of class "mona"
represent the divisive
hierarchical clustering of a dataset with only binary variables
(measurements). This class of objects is returned from
mona
.
A legitimate mona
object is a list with the following components:
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 |
variable |
vector of length n-1 where n is the number of observations,
specifying the variables used to separate the observations of |
step |
vector of length n-1 where n is the number of observations,
specifying the separation steps at which the observations of
|
The "mona"
class has methods for the following generic functions:
print
, summary
, plot
.
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