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cs.LG2025
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
Florian Graf, Paolo Pellizzoni, Martin Uray +2
We consider the problem of computing persistent homology (PH) for large-scale Euclidean point cloud data, aimed at downstream machine learning tasks, where the exponential growth o…
cs.LG2022★ 7 cited
k-Center Clustering with Outliers in Sliding Windows
Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci
Metric -center clustering is a fundamental unsupervised learning primitive. Although widely used, this primitive is heavily affected by noise in the data, so that a more sensibl…