Arguments
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 labelled.
height
a vector with the diameters of the clusters prior to splitting.
dc
the divisive coefficient, measuring the clustering structure of the dataset.
For each observation i, denote by d(i) the diameter of the last cluster to
which it belongs (before being split off as a single observation),
divided by the diameter of the who
merge
an (n-1) by 2 matrix, where n is the number of observations. Row i of merge
describes the split at step n-i of the clustering. If a number
j in row r is negative, then the single observation |j| is split off at
stage n-r. If j is positive, th
diss
an object of class "dissimilarity", representing the total dissimilarity
matrix of the dataset.
data
a matrix containing the original or standardized measurements, depending
on the stand option of the function agnes. If a dissimilarity matrix was
given as input structure, then this component is not available.
GENERATION
This class of objects is returned from diana.METHODS
The "diana" class has methods for the following generic functions:
print, summary, plot.INHERITANCE
The class "diana" inherits from "twins".
Therefore, the generic function pltree can be used on a diana object.STRUCTURE
A legitimate diana object is a list with the following components: