Learn R Programming

WOAkMedoids (version 0.2.2)

Whale Optimization Algorithm for K-Medoids Clustering

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) .

Copy Link

Version

Install

install.packages('WOAkMedoids')

Monthly Downloads

111

Version

0.2.2

License

GPL (>= 2)

Maintainer

Chenan Huang

Last Published

February 18th, 2026

Functions in WOAkMedoids (0.2.2)

fitnessFunction_serial_cpp

Deterministic serial fitness function for final evaluation
woa_kmedoids

Whale Optimization Algorithm for K-Medoids Clustering
projectToIndex_cpp

Project MDS coordinates to nearest unique sample indices
fitnessFunction_cpp

Fitness function for WOA optimization (C++ implementation)
Lightning7

Lightning7 Data for Testing
medoidsEqual_cpp

Check if two medoid solutions are identical