Package: WOAkMedoids 0.1.0
Chenan Huang
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>.
Authors:
WOAkMedoids_0.1.0.tar.gz
WOAkMedoids_0.1.0.tar.gz(r-4.5-noble)WOAkMedoids_0.1.0.tar.gz(r-4.4-noble)
WOAkMedoids_0.1.0.tgz(r-4.4-emscripten)WOAkMedoids_0.1.0.tgz(r-4.3-emscripten)
WOAkMedoids.pdf |WOAkMedoids.html✨
WOAkMedoids/json (API)
| # Install 'WOAkMedoids' in R: |
| install.packages('WOAkMedoids', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Lightning7 - Lightning7 Data for Testing
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:99be37681f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 27 2024 |
| R-4.5-linux-x86_64 | OK | Nov 27 2024 |
Exports:woa_kmedoids
Dependencies:base64encbslibcachemclasscliclueclustercodetoolscolorspacecommonmarkcrayondigestdplyrdtwdtwclustfansifarverfastmapflexclustfontawesomeforeachfsgenericsggplot2ggrepelgluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemodeltoolsmunsellnlmepillarpkgconfigplyrpromisesproxyR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcppThreadreshape2rlangRSpectrasassscalesshinyshinyjssourcetoolsstringistringrtibbletidyselectutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Lightning7 Data for Testing | Lightning7 |
| Whale Optimization Algorithm for K-Medoids Clustering | woa_kmedoids |