CRAN/E | ConsRankClass

ConsRankClass

Classification and Clustering of Preference Rankings

Installation

About

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) doi:10.1007/s00357-020-09367-0 D'Ambrosio, A., and Heiser, W.J. (2019) doi:10.1007/s41237-018-0069-5; D'Ambrosio, A., and Heiser W.J. (2016) doi:10.1007/s11336-016-9505-1; Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) doi:10.1109/TFUZZ.2011.2179303.

www.r-project.org/

Key Metrics

Version 1.0.1
Published 2021-09-28 930 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Antonio D'Ambrosio

antdambr@unina.it

Authors

Antonio D'Ambrosio

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ConsRankClass archive

Depends

ConsRank

Imports

janitor
methods
pracma
rlist
proxy