mona
object.
plot.mona(x, ...)
"mona"
,
created by the function
mona
.
Graphical parameters may also be supplied as arguments to
this function (see
).
Plots the separation step at which clusters are splitted.
The observations are given in the order found
by the
mona
algorithm,
the numbers in the
step
vector
are represented as bars between the observations.
When a long bar is drawn between two observations,
those observations have the same value for each variable.
See chapter 7 of Kaufman and Rousseeuw (1990).
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.
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(mona(catalyst[1:3]))