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WOAkMedoids: Whale Optimization Algorithm for K-Medoids Clustering

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>.

Version:0.1.0
Depends:R (≥ 3.5.0)
Imports:dtwclust,proxy,cluster,Rcpp (≥ 1.0.11)
LinkingTo:Rcpp
Published:2024-08-28
DOI:10.32614/CRAN.package.WOAkMedoids
Author:Chenan Huang [aut, cre], Narumasa TsutsumidaORCID iD [aut]
Maintainer:Chenan Huang <hualianchan at gmail.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:WOAkMedoids results

Documentation:

Reference manual:WOAkMedoids.html ,WOAkMedoids.pdf

Downloads:

Package source: WOAkMedoids_0.1.0.tar.gz
Windows binaries: r-devel:WOAkMedoids_0.1.0.zip, r-release:WOAkMedoids_0.1.0.zip, r-oldrel:WOAkMedoids_0.1.0.zip
macOS binaries: r-release (arm64):WOAkMedoids_0.1.0.tgz, r-oldrel (arm64):WOAkMedoids_0.1.0.tgz, r-release (x86_64):WOAkMedoids_0.1.0.tgz, r-oldrel (x86_64):WOAkMedoids_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=WOAkMedoidsto link to this page.


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