Evaluation of Clustering Algorithms

Documentation for package ‘clusteval’ version 0.1

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.