This work shows how to efficiently employ two data-driven approaches, spectral clustering and K-nearest neighbor classification (KNN), to better understand slip activity and fatigue-induced void formation.
Thanks for the fruitful collaboration, Joe, Jason, and Kavan!
You can find it at: https://www.sciencedirect.com/science/article/abs/pii/S0921509322001460
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