AI RESEARCH
AdaBox: Adaptive Density-Based Box Clustering with Parameter Generalization
arXiv CS.AI
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ArXi:2603.13339v1 Announce Type: cross Density-based clustering algorithms like DBSCAN and HDBSCAN are foundational tools for discovering arbitrarily shaped clusters, yet their practical utility is undermined by acute hyperparameter sensitivity -- parameters tuned on one dataset frequently fail to transfer to others, requiring expensive re-optimization for each deployment.