AI RESEARCH
Cluster Analysis with Resampling for Validation and Exploration (CARVE)
arXiv CS.LG
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ArXi:2606.00327v1 Announce Type: cross Clustering is widely used across the sciences as the foundation for downstream data-driven scientific discoveries. However, clustering results are highly sensitive to the choice of algorithm, preprocessing, and the number of clusters $k$, producing scientific claims that are often not reproducible.