Treebased classification and softclustering method for preference rankings, with tools for external validation of fuzzy clustering. It contains the recursive partitioning algorithm for preference rankings, nonparametric treebased method for a matrix of preference rankings as a response variable. It contains also the distributionfree soft clustering method for preference rankings, namely the Kmedian cluster component analysis (CCA). The package depends on the 'ConsRank' R package. Options for validate the treebased method are both testset procedure and Vfold cross validation. The package contains the routines to compute the adjusted concordance index (a fuzzy version of the adjusted rand index) and the normalized degree of concordance (the corresponding fuzzy version of the rand index). Essential references: D'Ambrosio, A., Amodio, S., Iorio, C., Pandolfo, G., and Siciliano, R. (2021) <doi:10.1007/s00357020093670> D'Ambrosio, A., and Heiser, W.J. (2019) <doi:10.1007/s4123701800695>; D'Ambrosio, A., and Heiser W.J. (2016) <doi:10.1007/s1133601695051>; Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) <doi:10.1109/TFUZZ.2011.2179303>.
Package details 


Author  Antonio D'Ambrosio [aut, cre] 
Maintainer  Antonio D'Ambrosio <antdambr@unina.it> 
License  GPL3 
Version  1.0.1 
URL  https://www.rproject.org/ 
Package repository  View on CRAN 
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