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clusteval

The R package clusteval provides a suite of tools to evaluate clustering algorithms, clusterings, and individual clusters.

Installation

You can install the stable version on CRAN:

install.packages('clusteval', dependencies = TRUE)

If you prefer to download the latest version, instead type:

library(devtools)
install_github('clusteval', 'ramey')

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Version

Install

install.packages('clusteval')

Monthly Downloads

7

Version

0.1

License

MIT

Maintainer

John Ramey

Last Published

August 31st, 2012

Functions in clusteval (0.1)

sim_student

Generates random variates from multivariate Student's t populations.
cluster_similarity

Computes the similarity between two clusterings of the same data set.
comembership

Calculates the comemberships of all pairs of a vector of clustering labels.
sim_data

Wrapper function to generate data from a variety of data-generating models.
sim_unif

Generates random variates from five multivariate uniform populations.
boot_stratified_omit

Creates a list of indices for a stratified nonparametric bootstrap.
intraclass_cov

Construct an intraclass covariance matrix.
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.
clusteval

Evaluation of Clustering Algorithms
jaccard_indep

Computes the Jaccard similarity coefficient of two clusterings of the same data set under the assumption that the two clusterings are independent.
clustomit

ClustOmit - Cluster Stability Evaluation via Cluster Omission
comembership_table

Calculates the 2x2 contingency table of agreements and disagreements of comemberships from two vectors of clustering labels.
sim_normal

Generates random variates from multivariate normal populations with intraclass covariance matrices.