A roadmap for the computation of persistent homology

A roadmap for the computation of persistent homology

Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of input data, independent of dimensions and coordinates, and provides a compact representation of the qualit...

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Bibliographic Details
Main Authors: Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod, Heather A Harrington
Format: Article
Language:English
Published: SpringerOpen 2017-08-01
Series:EPJ Data Science
Subjects:
persistent homology
topological data analysis
point-cloud data
networks
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-017-0109-5

Internet

http://link.springer.com/article/10.1140/epjds/s13688-017-0109-5

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