partition.object {cluster}  R Documentation 
The objects of class "partition"
represent a partitioning of a
dataset into clusters.
a "partition"
object is a list with the following
(and typically more) components:
clustering 
the clustering vector. An integer vector of length n, the number of observations, giving for each observation the number (`id') of the cluster to which it belongs. 
call 
the matched call generating the object. 
silinfo 
a list with all silhouette information, only available when
the number of clusters is nontrivial, i.e., 1 < k < n and
then has the following components, see silhouette
plot.partition .
Note that avg.width can be maximized over different
clusterings (e.g. with varying number of clusters) to choose an
optimal clustering.

objective 
value of criterion maximized during the partitioning algorithm, may more than one entry for different stages. 
diss 
an object of class "dissimilarity" , representing the total
dissimilarity matrix of the dataset (or relevant subset, e.g. for
clara ).

data 
a matrix containing the original or standardized data. This might be missing to save memory or when a dissimilarity matrix was given as input structure to the clustering method. 
These objects are returned from pam
, clara
or fanny
.
The "partition"
class has a method for the following generic functions:
plot
, clusplot
.
The following classes inherit from class "partition"
:
"pam"
, "clara"
and "fanny"
.
See pam.object
, clara.object
and
fanny.object
for details.