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.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:

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