Journal article icon

Journal article

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 qualitative features of the input. There has been recent progress, but the computation of PH remains an open area with numerous important and fascinating challenges. The field of PH computation is evol...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

Actions


Access Document


Files:
Publisher copy:
10.1140/epjds/s13688-017-0109-5

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Institute
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Institute
More by this author
Institution:
University of Oxford
Department:
Merton College
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Institute
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Institute
Publisher:
EDP Sciences: EPJ Open Access Publisher's website
Journal:
EPJ Data Science Journal website
Volume:
6
Issue:
17
Publication date:
2017-08-09
Acceptance date:
2017-06-07
DOI:
EISSN:
2193-1127
ISSN:
2193-1127
Pubs id:
pubs:701776
URN:
uri:dff984db-e1ed-4701-834b-a1ae5be42a74
UUID:
uuid:dff984db-e1ed-4701-834b-a1ae5be42a74
Local pid:
pubs:701776

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP