landmark selection (topological data analysis)

Watching stub. The general TDA-field name for choosing which points of a point cloud to keep before computing persistent homology on it — random selection and the maxmin (farthest-point) algorithm are the two standard rules, surveyed in claim-stolz-2023-landmark-selection-rules-trade-density-bias-for-noise-sensitivity. Directly the axis this vault's hub-selection sampling-artifact question (question-tda-neural-net-sampling-artifact-risk) probes, one level above any single paper's method — worth watching whether it recurs as the vault reads more TDA subsampling literature.

References

• claim-stolz-2023-landmark-selection-rules-trade-density-bias-for-noise-sensitivity · claim-chazal-2014-persistence-diagram-subsampling-stable-under-noise-not-selection
• observation-hub-selection-artifact-absent-by-design-in-founding-ph-generalization-papers