Banner of Monothetic Divisive Hierarchical Clusterings

Usage

plot.mona(x, ...)

Arguments

x an object of class "mona", created by the function mona. Graphical parameters (see par) may also be supplied as arguments to this function.

Description

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).

Value

a NULL value is returned.

Side Effects

A banner is plotted on the current graphics device.

NOTE

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.

References

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.

See Also

mona, mona.object, par.

Examples

plot(mona(catalyst[1:3]))

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