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NEWS.md
In WOAkMedoids: Whale Optimization Algorithm for K-Medoids Clustering
WOAkMedoids 0.2.2
Added
- Reimplemented performance-critical routines in C++ via Rcpp.
- Parallel fitness evaluation using RcppParallel.
- Early stopping mechanism to accelerate convergence.
Changed
- Fused cluster assignment and distance accumulation into a single loop for improved performance.
- Refactored internal WOA implementation for better maintainability.
Fixed
- Minor internal fixes.
WOAkMedoids 0.1.0
Added
- Initial pure-R implementation of WOA-kMedoids.
Try the WOAkMedoids package in your browser
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WOAkMedoids documentation built on Feb. 18, 2026, 5:06 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
WOAkMedoids 0.2.2
Added
- Reimplemented performance-critical routines in C++ via Rcpp.
- Parallel fitness evaluation using RcppParallel.
- Early stopping mechanism to accelerate convergence.
Changed
- Fused cluster assignment and distance accumulation into a single loop for improved performance.
- Refactored internal WOA implementation for better maintainability.
Fixed
- Minor internal fixes.
WOAkMedoids 0.1.0
Added
- Initial pure-R implementation of WOA-kMedoids.
Try the WOAkMedoids package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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