cluster (version 1.14.4)

partition.object: Partitioning Object

Description

The objects of class "partition" represent a partitioning of a dataset into clusters.

Arguments

Value

  • a "partition" object is a list with the following (and typically more) components:
  • clusteringthe 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.
  • callthe matched call generating the object.
  • silinfoa 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 [object Object],[object Object],[object Object] 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.

  • objectivevalue of criterion maximized during the partitioning algorithm, may more than one entry for different stages.
  • dissan object of class "dissimilarity", representing the total dissimilarity matrix of the dataset (or relevant subset, e.g. for clara).
  • dataa 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.

See Also

pam, clara, fanny.