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), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) <doi:10.1145/1553374.1553511>.

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Package details

AuthorJulien Chiquet [aut, cre] (<>), Guillem Rigaill [aut], Valentin Dervieux [ctb]
MaintainerJulien Chiquet <[email protected]>
LicenseGPL (>= 3)
URL (dev version)
Package repositoryView on CRAN
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aricode documentation built on May 3, 2018, 1:05 a.m.