Topological Methods in Data Analysis - Journal Club (Winter 2019/20)

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Topological Data Analysis (TDA) is a recent development in mathematics and data analysis that actually offers real world applications. The basic idea is using a homology theory - called persistent homology - to unveil and identify structures in data via a notion of its topology. However, interpreting these structures is by no means an easy task, and depends on the specific details of the underlying system.

In this Journal Club we will take a detailed look at foundational articles, specific applications and recent developments in the field, providing a link between the mathematical theory and scientific studies.

In case of questions, do not hesitate to contact us, the organizers of this Journal Club, via mail at structures-hiwi@mathi.uni-heidelberg.de.

Coordinates and Organization

Time: Wednesdays, from 9.15 am to 10.45 am.

Location: Mathematikon, Seminar Room 9.

Proceeding: Each week, a presenter discusses on the basis of the named paper(s) the given topic, taking into account further references whenever necessary. The presenter may set a focus following his or her individual interests.

Organizers: Michael Bleher, Daniel Spitz. Mail: structures-hiwi@mathi.uni-heidelberg.de.

Please consider registering on Müsli to join our mailing list.

Schedule

Date Topic Article Speaker
16.10. Organizational Meeting Michael

&
Daniel

23.10. The Mapper Algorithm and its Application M. Nicolau, A. J. Levine, and G. Carlsson (2011): Topology Based Data Analysis Identifies a Subgroup of Breast Cancers with a Unique Mutational Profile and Excellent Survival doi [1] Ruth
30.10. Persistent Homology in Hockey
Stability Theorems I
D. Goldfarb (2014): An Application of Topological Data Analysis to Hockey Analytics arXiv
D. Cohen-Steiner, H. Edelsbrunner, and J. Harer (2007): Stability of Persistence Diagrams doi [2]

D. Cohen-Steiner, H. Edelsbrunner, J. Harer (2010): Lipschitz Functions Have L^p -Stable Persistence doi [3]

Lukas
Daniel
6.11. Stability Theorems II U. Bauer, M. Lesnick (2016): Persistence Diagrams as Diagrams: A Categorification of the Stability Theorem arXiv [4] Max
13.11. Statistics of Persistence Diagrams E. Berry, Y.-C. Chen, J. Cisewski-Kehe, B. T. Fasy (2018): Functional Summaries of Persistence Diagrams arXiv [5] Daniel
20.11. Machine Learning & TDA I Sebastian
27.11. Machine Learning & TDA II Andre

Daniel

Sebastian

4.12. Differential Calculus on Persistence Barcodes J. Leygonie, S. Oudot, U. Tillmann (2019): A Framework for Differential Calculus on Persistence Barcodes arXiv Arnaud
11.12. Graph Embedding in Symmetric Spaces Clemens
18.12. Structure Theorems Michael

Further Content

Interesting directions for later sessions include the discussion of further scientific TDA applications, as well as an introduction to multiparameter persistence, to the relation between machine learning and TDA, and a primer on discrete Morse theory.

In this Journal Club, further interesting literature and content proposals from the audience are welcome.

References

  1. Nicolau, Monica, Arnold J. Levine, and Gunnar Carlsson. ‘Topology Based Data Analysis Identifies a Subgroup of Breast Cancers with a Unique Mutational Profile and Excellent Survival’. Proceedings of the National Academy of Sciences of the United States of America 108, no. 17 (26 April 2011): 7265–70. https://doi.org/10.1073/pnas.1102826108
  2. Cohen-Steiner, David, Herbert Edelsbrunner, and John Harer. ‘Stability of Persistence Diagrams’. Discrete & Computational Geometry 37, no. 1 (1 January 2007): 103–20. https://doi.org/10.1007/s00454-006-1276-5.
  3. Cohen-Steiner, David, Herbert Edelsbrunner, John Harer, and Yuriy Mileyko. ‘Lipschitz Functions Have L p -Stable Persistence’. Foundations of Computational Mathematics 10, no. 2 (April 2010): 127–39. https://doi.org/10.1007/s10208-010-9060-6.
  4. Bauer, Ulrich, and Michael Lesnick. ‘Persistence Diagrams as Diagrams: A Categorification of the Stability Theorem’, 31 October 2016. https://arxiv.org/abs/1610.10085v2.
  5. Berry, Eric, Yen-Chi Chen, Jessi Cisewski-Kehe, and Brittany Terese Fasy. ‘Functional Summaries of Persistence Diagrams’. 4 April 2018. http://arxiv.org/abs/1804.01618