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  "Title": "Efficient Computations of Standard Clustering Comparison\nMeasures",
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  "Authors@R": "c(\nperson(\"Julien\", \"Chiquet\", role = c(\"aut\", \"cre\"), email = \"julien.chiquet@inrae.fr\",\ncomment = c(ORCID = \"0000-0002-3629-3429\")),\nperson(\"Guillem\", \"Rigaill\", role = \"aut\", email = \"guillem.rigaill@inrae.fr\"),\nperson(\"Martina\", \"Sundqvist\", role = \"aut\", email = \"martina.sundqvist@agroparistech.fr\"),\nperson(\"Valentin\", \"Dervieux\", role = \"ctb\", email = \"valentin.dervieux@gmail.com\"),\nperson(\"Florent\", \"Bersani\", role = \"ctb\", email = \"florent@bersani.org\")\n)",
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  "Description": "Implements an efficient O(n) algorithm based on\nbucket-sorting for fast computation of standard clustering\ncomparison measures. Available measures include adjusted Rand\nindex (ARI), normalized information distance (NID), normalized\nmutual information (NMI), normalized variation information\n(NVI) and entropy, as described in Vinh et al (2009)\n<doi:10.1145/1553374.1553511>. Include AMI (Adjusted Mutual\nInformation) since version 0.1.2, a modified version of ARI\n(MARI), as described in Sundqvist et al.\n<doi:10.1007/s00180-022-01230-7> and simple Chi-square distance\nsince version 1.0.0.",
  "License": "GPL (>=3)",
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  "Date/Publication": "2026-05-13 14:34:40 UTC",
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