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  "Title": "Calculates the Density-Based Clustering Validation (DBCV) Index",
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  "Authors@R": "c(\nperson(\"Davide\", \"Chicco\", email = \"davidechicco@davidechicco.it\", comment = c(ORCID = \"0000-0001-9655-7142\"),\nrole = c(\"cre\")),\nperson(\"Pablo Andretta\", \"Jaskowiak\", comment = c(ORCID = \"0000-0002-6377-3372\"),\nrole = c(\"aut\"))\n)",
  "Description": "A metric called 'Density-Based Clustering Validation\nindex' (DBCV) index to evaluate clustering results, following\nthe\n<https://github.com/pajaskowiak/clusterConfusion/blob/main/R/dbcv.R>\n'R' implementation by Pablo Andretta Jaskowiak. Original 'DBCV'\nindex article: Moulavi, D., Jaskowiak, P. A., Campello, R. J.,\nZimek, A., and Sander, J. (April 2014), \"Density-based\nclustering validation\", Proceedings of SDM 2014 -- the 2014\nSIAM International Conference on Data Mining (pp. 839-847),\n<doi:10.1137/1.9781611973440.96>. A more recent article on the\n'DBCV' index: Chicco, D., Sabino, G.; Oneto, L.; Jurman, G.\n(August 2025), \"The DBCV index is more informative than DCSI,\nCDbw, and VIASCKDE indices for unsupervised clustering internal\nassessment of concave-shaped and density-based clusters\", PeerJ\nComputer Science 11:e3095 (pp. 1-),\n<doi:10.7717/peerj-cs.3095>.",
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