Evaluation of Clustering Algorithms


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Documentation for package ‘clusteval’ version 0.1

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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.