jchiquet/aricode: Efficient Computations of Standard Clustering Comparison Measures
Version 0.1.1

Implements an efficient O(n) algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Available measures include adjusted Rand index (ARI), normalized information distance (NID), normalized mutual information (NMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) .

Getting started

Package details

MaintainerJulien Chiquet <[email protected]>
LicenseGPL (>=3)
URL https://github.com/jchiquet/aricode (dev version)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
jchiquet/aricode documentation built on July 11, 2018, 5:25 p.m.