Efficient Computations of Standard Clustering Comparison Measures

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), adjusted mutual information (AMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) . Include AMI (Adjusted Mutual Information) since version 0.1.2, a modified version of ARI (MARI) and simple Chi-square distance since version 1.0.0.


News

NEWS/Changelog

0.1-1 (2018-04-30) + first submission to CRAN

Reference manual

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install.packages("aricode")

1.0.0 by Julien Chiquet, 4 months ago


https://github.com/jchiquet/aricode (dev version)


Report a bug at https://github.com/jchiquet/aricode/issues


Browse source code at https://github.com/cran/aricode


Authors: Julien Chiquet [aut, cre] , Guillem Rigaill [aut] , Martina Sundqvist [aut] , Valentin Dervieux [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Matrix, Rcpp

Suggests testthat, spelling

Linking to Rcpp


Suggested by FisherEM, MoMPCA, missSBM, sbm.


See at CRAN