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WOAkMedoids

0.2.2Package record

Whale Optimization Algorithm for K-Medoids Clustering

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) doi:10.1016/j.advengsoft.2016.01.008.

Changes in 0.2.2

Added

  • Reimplemented performance-critical routines in C++ via Rcpp.
  • Parallel fitness evaluation using RcppParallel.
  • Early stopping mechanism to accelerate convergence.

Changed

  • Fused cluster assignment and distance accumulation into a single loop for improved performance.
  • Refactored internal WOA implementation for better maintainability.

Fixed

  • Minor internal fixes.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.2.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
6 (4 internal)
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
33%

Downloads

2.1K
CRAN downloads in the past year
Rank #23,032 · ~6/day · ~173/mo
Daily download trend is not available in this view yet.
19830 days
57290 days
2.1K1 year
Compare downloads with other packages →
Also on356 r2u5 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing WOAkMedoids adds 67 packages (41 with compiled code, 60 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 3.5.0
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2024)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.2Latest
    record
    2026-02-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0
    record
    2024-08-28
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-08-28
Total releases
2 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
147 KB / 1 file
Download size
159 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WOAkMedoids")
Huang, C., & Tsutsumida, N. (2026). WOAkMedoids: Whale Optimization Algorithm for K-Medoids Clustering (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.WOAkMedoids

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for WOAkMedoids version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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