A Comparative Study of Machine Learning Methods for Persistence Diagrams

A Comparative Study of Machine Learning Methods for Persistence Diagrams

Many and varied methods currently exist for featurization, which is the process of mapping persistence diagrams to Euclidean space, with the goal of maximally preserving structure. However, and to our knowledge, there are presently no methodical comparisons of existing approaches, nor a standardized...

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Bibliographic Details
Main Authors: Danielle Barnes, Luis Polanco, Jose A. Perea
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Artificial Intelligence
Subjects:
persistent homology
machine learning
topological data analysis
persistence diagrams
barcodes
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.681174/full

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