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An Overview of the Topology ToolKit
| Content Provider | Semantic Scholar |
|---|---|
| Author | Masood, Talha Bin Budin, Joseph Falk, Martin Favelier, Guillaume Garth, Christoph Gueunet, Charles Guillou, Pierre Hofmann, Lutz Hristov, Petar Kamakshidasan, Adhitya Kappe, Christopher P. Klacansky, Pavol Laurin, Patrick Levine, Joshua A. Lukasczyk, Jonas Sakurai, Daisuke Soler, Maxime Steneteg, Peter Tierny, Julien Usher, Will Vidal, Jules Wozniak, Michal |
| Copyright Year | 2019 |
| Abstract | 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 [36] (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 [38]. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal.archives-ouvertes.fr/hal-02159838/file/falk_topoInVis2019%20(7).pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
