Quantile-Based Clustering Algorithms
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Laura Anderlucci <laura.anderlucci@unibo.it>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Christian",
family = "Hennig",
role = "aut"),
person(given = "Cinzia",
family = "Viroli",
role = "aut"),
person(given = "Laura",
family = "Anderlucci",
role = c("aut", "cre"),
email = "laura.anderlucci@unibo.it"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 5
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- Documented parameters
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- Return-value docs
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Code & Tests
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Maintainer since 0.1.0 (2018)
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- RR 4.6.0 released · 2026-04-24
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- 1.0.1Latest
- RR 4.2.0 released · 2022-04-22
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- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.02018-07-30
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-07-30
- Total releases
- 2 / 8 yrs
- License
- GPL-2 | GPL-3 OSI
- Download size
- 5.0 KB
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