clara.object {cluster}  R Documentation 
The objects of class "clara"
represent a partitioning of a large
dataset into clusters and are typically returned from clara
.
A legitimate clara
object is a list with the following components:
sample 
labels or case numbers of the observations in the best sample, that is,
the sample used by the 
medoids 
the medoids or representative objects of the clusters.
It is a matrix with in each row the coordinates of one medoid.
Possibly 
i.med 
the indices of the 
clustering 
the clustering vector, see 
objective 
the objective function for the final clustering of the entire dataset. 
clusinfo 
matrix, each row gives numerical information for one cluster. These are the cardinality of the cluster (number of observations), the maximal and average dissimilarity between the observations in the cluster and the cluster's medoid. The last column is the maximal dissimilarity between the observations in the cluster and the cluster's medoid, divided by the minimal dissimilarity between the cluster's medoid and the medoid of any other cluster. If this ratio is small, the cluster is wellseparated from the other clusters. 
diss 
dissimilarity (maybe NULL), see 
silinfo 
list with silhouette width information for the best sample, see

call 
generating call, see 
data 
matrix, possibibly standardized, or NULL, see

The "clara"
class has methods for the following generic functions:
print
, summary
.
The class "clara"
inherits from "partition"
.
Therefore, the generic functions plot
and clusplot
can
be used on a clara
object.
clara
, dissimilarity.object
,
partition.object
, plot.partition
.