ClusterStability-package {ClusterStability} | R Documentation |
The ClusterStability package uses a probabilistic framework and some well-known clustering criteria (e.g. Calinski-Harabasz, Silhouette, Dunn and Davies-Bouldin) to compute the stability scores (ST) of each individual object (i.e., element) in the clustering solution provided by the K-means and K-medoids partitioning algorithms.
Package: | ClusterStability |
Type: | Package |
Version: | 1.0.2 |
Date: | 2015-10-14 |
License: | GPL-2 |
Maintainer: | Etienne Lord <m.etienne.lord@gmail.com>, |
Vladimir Makarenkov <makarenkov.vladimir@uqam.ca> |
Function ClusterStability
computes the individual and global stability scores (ST) for a partitioning solution using either K-means or K-medoids (the approximate solution is provided).
Function ClusterStability_exact
is similar to the ClusterStability
function but uses the Stirling numbers of the second kind to compute the exact stability scores (but is limited to a small number of objects).
Function Kcombination
computes the k-combination of a set of numbers for a given k.
Function Reorder
returns the re-ordered partitioning of a series of clusters.
Function Stirling2nd
computes the Stirling numbers of the second kind.
Etienne Lord, François-Joseph Lapointe and Vladimir Makarenkov
ClusterStability
,
ClusterStability_exact
,
Kcombination
,
Reorder
,
Stirling2nd