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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>.

Versions across snapshots

VersionRepositoryFileSize
0.2.2 rolling linux/jammy R-4.5 WOAkMedoids_0.2.2.tar.gz 220.8 KiB
0.2.2 rolling linux/noble R-4.5 WOAkMedoids_0.2.2.tar.gz 222.5 KiB
0.2.2 rolling source/ R- WOAkMedoids_0.2.2.tar.gz 159.0 KiB
0.2.2 latest linux/jammy R-4.5 WOAkMedoids_0.2.2.tar.gz 220.8 KiB
0.2.2 latest linux/noble R-4.5 WOAkMedoids_0.2.2.tar.gz 222.5 KiB
0.2.2 latest source/ R- WOAkMedoids_0.2.2.tar.gz 159.0 KiB
0.2.2 2026-04-26 source/ R- WOAkMedoids_0.2.2.tar.gz 159.0 KiB
0.2.2 2026-04-23 source/ R- WOAkMedoids_0.2.2.tar.gz 159.0 KiB
0.2.2 2026-04-09 windows/windows R-4.5 WOAkMedoids_0.2.2.zip 540.7 KiB
0.1.0 2025-04-20 source/ R- WOAkMedoids_0.1.0.tar.gz 154.1 KiB

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