TY - GEN
T1 - An Overview of the Topology ToolKit
AU - Masood, Talha Bin
AU - Budin, Joseph
AU - Falk, Martin
AU - Favelier, Guillaume
AU - Garth, Christoph
AU - Gueunet, Charles
AU - Guillou, Pierre
AU - Hofmann, Lutz
AU - Hristov, Petar
AU - Kamakshidasan, Adhitya
AU - Kappe, Christopher
AU - Klacansky, Pavol
AU - Laurin, Patrick
AU - Levine, Joshua A.
AU - Lukasczyk, Jonas
AU - Sakurai, Daisuke
AU - Soler, Maxime
AU - Steneteg, Peter
AU - Tierny, Julien
AU - Usher, Will
AU - Vidal, Jules
AU - Wozniak, Michal
N1 - Funding Information:
Acknowledgements We would like to thank the anonymous reviewers for their thoughtful remarks and suggestions. This work is partially supported by the European Commission grant H2020-FETHPC-2017 “VESTEC” (ref. 800904).
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - This software paper gives an overview of the features supported by the Topology ToolKit (TTK), which is an open-source library for topological data analysis (TDA). TTK implements, in a generic and efficient way, a substantial collection of reference algorithms in TDA. Since its initial public release in 2017, both its user and developer bases have grown, resulting in a significant increase in the number of supported features. In contrast to the original paper introducing TTK [40] (which detailed the core algorithms and data structures of TTK), the purpose of this software paper is to describe the list of features currently supported by TTK, ranging from image segmentation tools to advanced topological analysis of high-dimensional data, with concrete usage examples available on the TTK website [42].
AB - This software paper gives an overview of the features supported by the Topology ToolKit (TTK), which is an open-source library for topological data analysis (TDA). TTK implements, in a generic and efficient way, a substantial collection of reference algorithms in TDA. Since its initial public release in 2017, both its user and developer bases have grown, resulting in a significant increase in the number of supported features. In contrast to the original paper introducing TTK [40] (which detailed the core algorithms and data structures of TTK), the purpose of this software paper is to describe the list of features currently supported by TTK, ranging from image segmentation tools to advanced topological analysis of high-dimensional data, with concrete usage examples available on the TTK website [42].
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U2 - 10.1007/978-3-030-83500-2_16
DO - 10.1007/978-3-030-83500-2_16
M3 - Conference contribution
AN - SCOPUS:85116769555
SN - 9783030834999
T3 - Mathematics and Visualization
SP - 327
EP - 342
BT - Topological Methods in Data Analysis and Visualization VI - Theory, Applications, and Software
A2 - Hotz, Ingrid
A2 - Bin Masood, Talha
A2 - Sadlo, Filip
A2 - Tierny, Julien
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th Workshop on Topological Methods in Data Analysis and Visualization, TopoInVis 2019
Y2 - 17 June 2019 through 19 June 2019
ER -