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Pinto, F.R., Carrico, J.A., Ramirez, M., and Almeida, J.S. (2007). Ranked Adjusted
Rand: integrating distance and partition information in a measure of clustering
agreement. BMC Bioinformatics 8:44. doi: 10.1186/1471-2105-8-44
RARI.Rd for the ranked adjusted Rand index function
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I haven't found any R packages or code where the ranked adjusted Rand index function from Pinto et al. (2007) exists. I found this function useful when trying to assess the impact of specific entities/objects/points jumping from one cluster to a nearby cluster vs. jumping from the same cluster to a much more distant cluster when comparing clustering solutions x and y.
The ranked ARI, with its emphasis on assessing clustering validity with distance matrices as opposed to the traditional ARI with its hard classifications of match/mismatch between solutions, seemed to fit in with the spirit of the mclust package.