R: Assessment of the stability of individual objects, clusters...
ClusterStability-package
R Documentation
Assessment of the stability of individual objects, clusters and a whole clustering solution based on repeated runs of a clustering algorithm.
Description
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.
Details
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.
Author(s)
Etienne Lord, François-Joseph Lapointe and Vladimir Makarenkov