Cluster Analysis with Resampling for Validation and Exploration (CARVE)
Researchers have introduced CARVE, an open-source software package designed to improve the validation and exploration of cluster analysis results. CARVE addresses the sensitivity of clustering outcomes to algorithm and hyperparameter choices, which often hinders reproducibility in scientific discovery. The package offers stability and generalizability diagnostics at multiple levels and provides principled selection rules, outperforming traditional validation indices on synthetic and real-world biological data. AI
IMPACT Improves reproducibility of scientific discoveries derived from data clustering.