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"diana"
represent a divisive hierarchical clustering of a dataset.diana
object is a list with the following components:order
, but containing observation labels instead of
observation numbers. This component is only available if the original
observations were labelled.dc
is the average of all 1 - d(i). It can also be seen as the average
width (or the percentage filled) of the banner plot.
Because dc
grows with the number of observations, this measure should not
be used to compare datasets of very different sizes.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, then the
cluster that will be splitted at stage n-j (described by row j), is
split off at stage n-r."dissimilarity"
, representing the total
dissimilarity matrix of the dataset.stand
option of the function agnes
. If a dissimilarity matrix was
given as input structure, then this component is not available.diana
."diana"
class has methods for the following generic functions:
print
, summary
, plot
."diana"
inherits from "twins"
.
Therefore, the generic function pltree
can be used on a
diana
object.agnes
, diana
, plot.diana
, twins.object
.