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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>.

Type Size Name Uploaded Downloads Labels
conda 89.1 kB | osx-64/r-aricode-0.1.2-r36h466af19_0.tar.bz2  5 years and 6 months ago 0 main
conda 99.7 kB | win-64/r-aricode-0.1.2-r36h796a38f_0.tar.bz2  5 years and 6 months ago 0 main
conda 92.0 kB | linux-64/r-aricode-0.1.2-r36h29659fb_0.tar.bz2  5 years and 6 months ago 0 main

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