Package: aricode 1.0.3

aricode: 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) <doi:10.1145/1553374.1553511>. Include AMI (Adjusted Mutual Information) since version 0.1.2, a modified version of ARI (MARI), as described in Sundqvist et al. <doi:10.1007/s00180-022-01230-7> and simple Chi-square distance since version 1.0.0.

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

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Bug tracker:https://github.com/jchiquet/aricode/issues

On CRAN:

bucket-sortclusteringclustering-comparison-measures

12 exports 25 stars 3.69 score 3 dependencies 13 dependents 3 mentions 362 scripts 1.6k downloads

Last updated 7 months agofrom:ffc98928af. Checks:OK: 9. Indexed: yes.

Exports:AMIARIChi2clustCompentropyMARIMARIrawNIDNMINVIRIsortPairs

Dependencies:latticeMatrixRcpp