clusplot {cluster}  R Documentation 
Draws a 2dimensional “clusplot” (clustering plot) on the
current graphics device.
The generic function has a default and a partition
method.
clusplot(x, ...)
## S3 method for class 'partition'
clusplot(x, main = NULL, dist = NULL, ...)
x 
an R object, here, specifically an object of class

main 
title for the plot; when 
dist 
when 
... 
optional arguments passed to methods, notably the

The clusplot.partition()
method relies on clusplot.default
.
If the clustering algorithms pam
, fanny
and clara
are applied to a data matrix of observationsbyvariables then a
clusplot of the resulting clustering can always be drawn. When the
data matrix contains missing values and the clustering is performed
with pam
or fanny
, the dissimilarity
matrix will be given as input to clusplot
. When the clustering
algorithm clara
was applied to a data matrix with NA
s
then clusplot()
will replace the missing values as described in
clusplot.default
, because a dissimilarity matrix is not
available.
For the partition
(and default
) method: An invisible
list with components Distances
and Shading
, as for
clusplot.default
, see there.
a 2dimensional clusplot is created on the current graphics device.
clusplot.default
for references;
partition.object
, pam
,
pam.object
, clara
,
clara.object
, fanny
,
fanny.object
, par
.
## For more, see ?clusplot.default
## generate 25 objects, divided into 2 clusters.
x < rbind(cbind(rnorm(10,0,0.5), rnorm(10,0,0.5)),
cbind(rnorm(15,5,0.5), rnorm(15,5,0.5)))
clusplot(pam(x, 2))
## add noise, and try again :
x4 < cbind(x, rnorm(25), rnorm(25))
clusplot(pam(x4, 2))