The following functions are for internal computation only: calculate_global_PSG, calculate_indices, calculate_singleton, is_partition_group, p_n_k, p_tilde_n_k, calculate_individual_PSG_approximative, calculate_individual_PSG_exact, calculate_individual_PSG.
ClusterStability-package
(Package: ClusterStability) :
Assessment of the stability of individual objects, clusters and a whole clustering solution based on repeated runs of a clustering algorithm.
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.
This function will return the exact individual stability score ST and the exact global score STglobal using either the K-means or K-medoids algorithm and four different clustering indices: Calinski-Harabasz, Silhouette, Dunn or Davies-Bouldin. Variable overflow errors are possible for large numbers of objects.
Stirling2nd
(Package: ClusterStability) :
Stirling2nd function computes the Stirling numbers of the second kind.
This function returns the estimated Stirling numbers of the second kind i.e., the number of ways of partitioning a set of n objects into k nonempty groups.
This function will return the individual stability score ST and the global score STglobal using either the K-means or K-medoids algorithm and four different clustering indices: Calinski-Harabasz, Silhouette, Dunn or Davies-Bouldin.
providing 
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