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Found 2 papers, 1 papers with code
Computable Stability for Persistence Rank Function Machine Learning
In this paper, we revisit the persistent homology rank function -- an invariant measure of ``shape" that was introduced before barcodes and persistence diagrams and captures the same information in a form that is more amenable to data and computation.
Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide
Cycle representatives of persistent homology classes can be used to provide descriptions of topological features in data.
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