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 [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:

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