Package: WOAkMedoids
Type: Package
Depends: R (>= 3.5.0)
Title: Whale Optimization Algorithm for K-Medoids Clustering
Version: 0.2.2
Date: 2026-02-08
Encoding: UTF-8
Authors@R: 
    c(person(given = "Chenan",
             family = "Huang",
             role = c("aut", "cre"),
             email = "hualianchan@gmail.com"),
      person(given = "Narumasa",
             family = "Tsutsumida",
             role = c("aut"),
             email = "rsnaru.jp@gmail.com",
             comment = c(ORCID = "0000-0002-6333-0301")))
Description: 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>.
License: GPL (>= 2)
Imports: dtwclust, proxy, cluster, Rcpp (>= 1.0.11), RcppParallel
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
RoxygenNote: 7.3.3
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-18 13:56:36 UTC; huang
Author: Chenan Huang [aut, cre],
  Narumasa Tsutsumida [aut] (ORCID:
    <https://orcid.org/0000-0002-6333-0301>)
Maintainer: Chenan Huang <hualianchan@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-18 14:20:09 UTC
Built: R 4.4.3; aarch64-apple-darwin20; 2026-02-18 15:12:55 UTC; unix
Archs: WOAkMedoids.so.dSYM
