Package: QuClu 1.0.1

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>.

Authors:Christian Hennig, Cinzia Viroli and Laura Anderlucci

QuClu_1.0.1.tar.gz
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QuClu.pdf |QuClu.html
QuClu/json (API)

# Install 'QuClu' in R:
install.packages('QuClu', repos = c('https://landerlucci.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 1 stars 0.09 score 0 dependencies 4 scripts 205 downloads

Last updated 2 years agofrom:11bd10840f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:alg.CSalg.CUalg.VSalg.VUkquantiles

Dependencies: