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Identifies the optimal number of clusters by calculating the similarity between two clustering methods at the same number of clusters using the corrected indices of Rand and Jaccard as described in Albatineh and Niewiadomska-Bugaj (2011). The number of clusters at which the index attain its maximum more frequently is a candidate for being the optimal number of clusters.

Type Size Name Uploaded Downloads Labels
conda 34.4 kB | noarch/r-mcsim-1.0-r43h142f84f_0.tar.bz2  11 months and 21 days ago 19 main
conda 34.0 kB | noarch/r-mcsim-1.0-r42h142f84f_0.tar.bz2  2 years and 6 months ago 49 main
conda 33.9 kB | noarch/r-mcsim-1.0-r36h6115d3f_0.tar.bz2  4 years and 9 months ago 109 main

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