diana
object.
plot.diana(x, ask=F, which.plots=NULL, ...)
"diana"
,
created by the function
diana
.
plot.diana
operates in interactive mode.
Banner
When
ask=T
, rather than producing each plot sequentially,
plot.diana
displays a menu listing all the plots that can be produced.
If the menu is not desired but a pause between plots is still wanted
one must set
par(ask=T)
before invoking the plot command.
The banner displays the hierarchy of clusters, and is equivalent to a tree.
See Rousseeuw (1986) or chapter 6 of Kaufman and Rousseeuw (1990).
The banner plots the diameter of each cluster being splitted.
The observations are listed in the order found by the
diana
algorithm, and
the numbers in the
height
vector are represented as bars between the
observations.
The leaves of the clustering tree are the original observations.
A branch splits up at the diameter of the cluster being splitted.
In the banner plot, observation labels are only printed when the number of observations is limited to less than 35, for readability. Moreover, observation labels are truncated to at most 5 characters.
Kaufman, L. and Rousseeuw, P.J. (1990).
Finding Groups in Data: An Introduction to Cluster Analysis.
Wiley, New York.
Rousseeuw, P. J. (1986).
A visual display for hierarchical classification.
In
Data Analysis and Informatics 4.
Edited by E. Diday, Y. Escoufier,
L. Lebart, J. Pages, Y. Schektman, and R. Tomassone.
North-Holland, Amsterdam. pp. 743-748.
Struyf, A., Hubert, M. and Rousseeuw, P. J. (1997).
Integrating robust clustering techniques in S-PLUS.
Computational Statistics and Data Analysis,
26, 17-37.
plot(diana(votes.repub))