R Observatory: Metrics for UAHDataScienceUC version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

UAHDataScienceUC

1.0.1

Learn Clustering Techniques Through Examples and Code

0packages depend

1.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Andriy Protsak ProtsakFirst published 2025-02-172 releasesCRAN page ↗

A comprehensive educational package combining clustering algorithms with detailed step-by-step explanations. Provides implementations of both traditional (hierarchical, k-means) and modern (Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Gaussian Mixture Models (GMM), genetic k-means) clustering methods as described in Ezugwu et. al., (2022) doi:10.1016/j.engappai.2022.104743. Includes educational datasets highlighting different clustering challenges, based on 'scikit-learn' examples (Pedregosa et al., 2011) https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html. Features detailed algorithm explanations, visualizations, and weighted distance calculations for enhanced learning.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("UAHDataScienceUC", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-uahdatascienceuc

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-UAHDataScienceUC

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-UAHDataScienceUC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-18
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-16
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-12
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-05
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

1.7K

CRAN downloads in the past year

Rank #23,189 · ~5/day · ~144/mo

Releases R versions

Daily download trend is not available in this view yet.

9530 days

43990 days

1.7K1 year

Compare downloads with other packages →

Also on97 r2u14 autocran

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.3.0

Imports (2)

proxy cli

LinkingTo (0)

none

Suggests (3)

deldir knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Andriy Protsak Protsak

Author, Maintainer

Authors (4)

Andriy Protsak Protsak

Author, Maintainer

Roberto Alcantara

Author

Juan Jose Cuadrado Gallego

Author

Eduardo Ruiz Sabajanes

Author

Copyright holders (1)

Universidad de Alcala

Copyright holder

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.1Latest
2025-02-17 · current release · diff ↗
1.0.0
2025-02-17
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-02-17
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.3.0
Bundled data: 48 KB / 6 files
Download size: 118 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("UAHDataScienceUC")

Format

Protsak Protsak, A., Universidad de Alcala, Alcantara, R., Cuadrado Gallego, J. J., & Ruiz Sabajanes, E. (2025). UAHDataScienceUC: Learn Clustering Techniques Through Examples and Code (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.UAHDataScienceUC

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for UAHDataScienceUC version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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