@InProceedings{edelsbrunner_et_al:LIPIcs.SoCG.2019.31, author = {Edelsbrunner, Herbert and Virk, \v{Z}iga and Wagner, Hubert}, title = {{Topological Data Analysis in Information Space}}, booktitle = {35th International Symposium on Computational Geometry (SoCG 2019)}, pages = {31:1--31:14}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-104-7}, ISSN = {1868-8969}, year = {2019}, volume = {129}, editor = {Barequet, Gill and Wang, Yusu}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.31}, URN = {urn:nbn:de:0030-drops-104357}, doi = {10.4230/LIPIcs.SoCG.2019.31}, annote = {Keywords: Computational topology, persistent homology, information theory, entropy} }
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