pam.object: Partitioning Around Medoids (PAM) Object
Description
The objects of class "pam" represent a partitioning of a
dataset into clusters.Value
- A legitimate
pam object is a list with the following components: - medoidsthe 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. - clusteringthe clustering vector, see
partition.object. - objectivethe objective function after the first and second
step of the
pam algorithm. - isolationvector 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.
- clusinfomatrix, 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).
- silinfolist with silhouette width information, see
partition.object. - dissdissimilarity (maybe NULL), see
partition.object. - callgenerating call, see
partition.object. - data(possibibly standardized) see
partition.object.
GENERATION
These objects are returned from pam.METHODS
The "pam" class has methods for the following generic functions:
print, summary.INHERITANCE
The class "pam" inherits from "partition".
Therefore, the generic functions plot and clusplot can
be used on a pam object.