pam.object {cluster} | R Documentation |
The objects of class "pam"
represent a partitioning of a
dataset into clusters.
A legitimate pam
object is a list with the following components:
medoids |
the medoids or representative objects of the
clusters. If a dissimilarity matrix was given as input to
pam , then a vector of numbers or labels of observations is
given, else medoids is a matrix with in each row the
coordinates of one medoid. |
clustering |
the clustering vector. A vector with length equal to the number of observations, giving the number of the cluster to which each observation belongs. |
objective |
the objective function after the first and second step of the pam
algorithm. |
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 diameter of the cluster (maximal dissimilarity between two observations of the cluster), and the separation of the cluster (minimal dissimilarity between an observation of the cluster and an observation of another cluster). |
isolation |
vector with length equal to the number of clusters, specifying which
clusters are isolated clusters (L- or L*-clusters) and which clusters are
not isolated. A cluster is an L*-cluster iff its diameter is smaller than its separation. A cluster is an L-cluster iff for each observation i the maximal dissimilarity between i and any other observation of the cluster is smaller than the minimal dissimilarity between i and any observation of another cluster. Clearly each L*-cluster is also an L-cluster. |
silinfo |
list with all information necessary to construct a silhouette plot
of the clustering. This list is only available when 1 < k < n. The
first component is a matrix, 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
of i. The other two components give the average silhouette width
per cluster and the average silhouette width for the dataset. See
plot.partition for more information.
|
diss |
an object of class "dissimilarity" , representing the total
dissimilarity matrix of the dataset.
|
data |
a matrix containing the original or standardized measurements, depending
on the stand option of the function pam . If a
dissimilarity matrix was given as input structure, then this component
is not available.
|
These objects are returned from pam
.
The "pam"
class has methods for the following generic functions:
print
, summary
.
The class "pam"
inherits from "partition"
.
Therefore, the generic functions plot
and clusplot
can
be used on a pam
object.
pam
, dissimilarity.object
,
partition.object
, plot.partition
.