aricode: Efficient Computations of Standard Clustering Comparison
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.
||clustAnalytics, Dune, GREMLINS, ILoReg, l1spectral, pipeComp, SISIR, WormTensor
||FisherEM, missSBM, MoMPCA, sbm
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