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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 Tsutsumida ORCID 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.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 form https://CRAN.R-project.org/package=WOAkMedoids to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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