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ConsRankClass  

Classification and Clustering of Preference Rankings
View on CRAN: Click here


Download and install ConsRankClass package within the R console
Install from CRAN:
install.packages("ConsRankClass")

Install from Github:
library("remotes")
install_github("cran/ConsRankClass")

Install by package version:
library("remotes")
install_version("ConsRankClass", "1.0.1")



Attach the package and use:
library("ConsRankClass")
Maintained by
Antonio D'Ambrosio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-18
Latest Update: 2021-09-28
Description:
Tree-based classification and soft-clustering method for preference rankings, with tools for external validation of fuzzy clustering. It contains the recursive partitioning algorithm for preference rankings, non-parametric tree-based method for a matrix of preference rankings as a response variable. It contains also the distribution-free soft clustering method for preference rankings, namely the K-median cluster component analysis (CCA). The package depends on the 'ConsRank' R package. Options for validate the tree-based method are both test-set procedure and V-fold 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) D'Ambrosio, A., and Heiser, W.J. (2019) ; D'Ambrosio, A., and Heiser W.J. (2016) ; Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) .
How to cite:
Antonio D'Ambrosio (2021). ConsRankClass: Classification and Clustering of Preference Rankings. R package version 1.0.1, https://cran.r-project.org/web/packages/ConsRankClass. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2021-05-18 09:40)
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