Introductory reading

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This is a list of entries to the vastly growing literature in the field of topological data analysis, both from a theoretical and an applied point of view.

Literature on theory

A well-known theoretical introduction to the field. Carlsson: Topology and Data.[1]

One of the papers introducing the notion of persistent homology of a filtration. Zomorodian and Carlsson: Computing persistent homology.[2]

A recently introduced topological summary better suited than persistence diagrams to statistically analyze persistent homology, the persistence landscape. Bubenik: Statistical topological data analysis using persistence landscapes.[3]

Literature towards applications

A thorough introduction to the field and approaches of computational topology. Edelsbrunner and Harer: Computational topology: an introduction.[4]

A general overview of persistent homology with an eye towards applications of different numerical libraries. In the supplementaries starting points for own numerical steps are given. Otter et al: A roadmap for the computation of persistent homology.[5]

The mapper algorithm. Singh et al: Topological methods for the analysis of high dimensional data sets and 3d object recognition.[6]

References

  1. CARLSSON, Gunnar. Topology and data. Bulletin of the American Mathematical Society, 2009, 46. Jg., Nr. 2, S. 255-308. doi:10.1090/S0273-0979-09-01249-X
  2. ZOMORODIAN, Afra; CARLSSON, Gunnar. Computing persistent homology. Discrete & Computational Geometry, 2005, 33. Jg., Nr. 2, S. 249-274. doi:10.1007/s00454-004-1146-y
  3. BUBENIK, Peter. Statistical topological data analysis using persistence landscapes. The Journal of Machine Learning Research, 2015, 16. Jg., Nr. 1, S. 77-102. http://www.jmlr.org/papers/volume16/bubenik15a/bubenik15a.pdf
  4. EDELSBRUNNER, Herbert; HARER, John. Computational topology: an introduction. American Mathematical Soc., 2010.
  5. OTTER, Nina, et al. A roadmap for the computation of persistent homology. EPJ Data Science, 2017, 6. Jg., Nr. 1, S. 17. doi:10.1140/epjds/s13688-017-0109-5
  6. SINGH, Gurjeet; MÉMOLI, Facundo; CARLSSON, Gunnar E. Topological methods for the analysis of high dimensional data sets and 3d object recognition. In: SPBG. 2007. S. 91-100. doi:10.2312/SPBG/SPBG07/091-100