| 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 non-trivial, 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.