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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