Tag: unreduced

Topological Machine Learning with Unreduced Persistence Diagrams arXiv:2507.07156v1 Announce Type: new Abstract: Supervised machine learning pipelines trained on features derived from persistent homology have been experimentally observed to ignore much of the information contained in a persistence diagram. Computing persistence diagrams is often the most computationally demanding step in such a pipeline, however. To explore…