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QuClu: Quantile-Based Clustering Algorithms

Various quantile-based clustering algorithms: algorithm CU (Common theta and Unscaled variables), algorithm CS (Common theta and Scaled variables through lambda_j), algorithm VU (Variable-wise theta_j and Unscaled variables) and algorithm VW (Variable-wise theta_j and Scaled variables through lambda_j). Hennig, C., Viroli, C., Anderlucci, L. (2019) "Quantile-based clustering." Electronic Journal of Statistics. 13 (2) 4849 - 4883 <doi:10.1214/19-EJS1640>.

Version: 1.0.1
Imports: stats
Published: 2022-05-26
DOI: 10.32614/CRAN.package.QuClu
Author: Christian Hennig, Cinzia Viroli and Laura Anderlucci
Maintainer: Laura Anderlucci <laura.anderlucci at unibo.it>
License: GPL-2 | GPL-3
NeedsCompilation: no
In views: Cluster
CRAN checks: QuClu results

Documentation:

Reference manual: QuClu.pdf

Downloads:

Package source: QuClu_1.0.1.tar.gz
Windows binaries: r-devel: QuClu_1.0.1.zip, r-release: QuClu_1.0.1.zip, r-oldrel: QuClu_1.0.1.zip
macOS binaries: r-release (arm64): QuClu_1.0.1.tgz, r-oldrel (arm64): QuClu_1.0.1.tgz, r-release (x86_64): QuClu_1.0.1.tgz, r-oldrel (x86_64): QuClu_1.0.1.tgz
Old sources: QuClu archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.