R: Evaluation of Clustering Algorithms

# Evaluation of Clustering Algorithms

## Documentation for package ‘clusteval’ version 0.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

clusteval-package | Evaluation of Clustering Algorithms
boot_stratified_omit | Creates a list of indices for a stratified nonparametric bootstrap.
cluster_similarity | Computes the similarity between two clusterings of the same data set.
clusteval | Evaluation of Clustering Algorithms
clustomit | ClustOmit - Cluster Stability Evaluation via Cluster Omission
comembership | Calculates the comemberships of all pairs of a vector of clustering labels.
comembership_table | Calculates the 2x2 contingency table of agreements and disagreements of comemberships from two vectors of clustering labels.
intraclass_cov | Construct an intraclass covariance matrix.
jaccard_indep | Computes the Jaccard similarity coefficient of two clusterings of the same data set under the assumption that the two clusterings are independent.
package-clusteval | Evaluation of Clustering Algorithms
random_clustering | Randomly cluster a data set into K clusters.
rand_indep | Computes the Rand similarity index of two clusterings of the same data set under the assumption that the two clusterings are independent.
sim_data | Wrapper function to generate data from a variety of data-generating models.
sim_normal | Generates random variates from multivariate normal populations with intraclass covariance matrices.
sim_student | Generates random variates from multivariate Student's t populations.
sim_unif | Generates random variates from five multivariate uniform populations.