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
.