The objects of class "partition" represent a partitioning of a
dataset into clusters.
Value
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
widths
an (n x 3) matrix, as returned by
silhouette(), with for each observation i the
cluster to which i belongs, as well as the neighbor cluster of i
(the cluster, not containing i, for which the average
dissimilarity between its observations and i is minimal), and
the silhouette width s(i) of the observation.
clus.avg.widths
the average silhouette width per cluster.
avg.width
the average silhouette width for the dataset, i.e.,
simply the average of s(i) over all observations i.
This information is also needed to construct a silhouette plot of
the clustering, see 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.
GENERATION
These objects are returned from pam, clara or fanny.
METHODS
The "partition" class has a method for the following generic functions:
plot, clusplot.
INHERITANCE
The following classes inherit from class "partition" :
"pam", "clara" and "fanny".
See pam.object, clara.object and
fanny.object for details.