WOAkMedoids: Whale Optimization Algorithm for K-Medoids Clustering (original) (raw)
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 |
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| 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 |
| Maintainer: | Chenan Huang |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | WOAkMedoids results |
Documentation:
| Reference manual: | WOAkMedoids.html , <WOAkMedoids.pdf> |
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Downloads:
| Package source: | WOAkMedoids_0.1.0.tar.gz |
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| 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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