Reference change · event page

Corrigendum to “Clustering in geo-data science: Navigating uncertainty to select the most reliable method” [Ore Geol. Rev. 181 (2025) 106591]

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Correction Crossref 2 open · 2 total · 0 disputed

DOI: 10.1016/j.oregeorev.2025.106591
Notice DOI: 10.1016/j.oregeorev.2026.107242
Event date: 2026-03-28
Machine twin: JSON

01One-hop citing occurrences

Correction Open

Scalable Exact Hierarchical Agglomerative Clustering via Sparse Geographic Distance Graphs

ref [23] · 2604.11656 · notice #7036 · dispute

Raw extraction · bibliography line

Behnam Sadeghi. 2025. K-Means and K-Medoids are among the most commonly used clustering methods in geo-data science (pyClusterWise).Ore Geology Re- views181 (2025), 106591. doi:10.1016/j.oregeorev.2025.106591

Correction Open

Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure

ref [43] · 2606.05641 · notice #7037 · dispute

Raw extraction · bibliography line

B. Agyei Kyem, J. K. Asamoah, E. Denteh, A. Danyo, A. Aboah, Self-supervised multi-scale transformer with attention-guided fusion for efficient crack detection, Automation in Construction 181 (2026) 106591. doi:https://doi.org/10.1016/j.autcon.2025.106591. URL https://www.sciencedirect.com/science/article/pii/ S0926580525006314

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