Reconstructing linearly embedded graphs: a first step to stratified space learning

DOI10.3934/fods.2021026OpenAlexW3203419944MaRDI QIDQ6154229

No author found.

Publication date: 14 February 2024

Published in: Foundations of Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/fods.2021026

zbMATH Keywords

implementationembedded spacesreconstruction and modellingstratified space learning

Mathematics Subject Classification ID

Persistent homology and applications, topological data analysis (55N31) Computational methods for problems pertaining to geometry (51-08) Relations of manifolds and cell complexes with computer and data science (57Z25)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Learning algebraic varieties from samples
• Curve and Surface Reconstruction
• Geometric anomaly detection in data

This page was built for publication: Reconstructing linearly embedded graphs: a first step to stratified space learning