Skip to Main content Skip to Navigation
Poster communications

Understanding Merge Trees with Force-Directed Landscapes

Adhitya Kamakshidasan 1 Vijay Natarajan 2 
1 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : Topological methods for data analysis have proven to be useful in multiple contexts ranging from exploring molecular surfaces to understanding cyclones. While abstract topological representations are powerful, they are still yet to gain widespread popularity, because their interpretation requires background in algebraic topology and Morse theory. To this extent, multiple attempts have been made to provide user interfaces that convey topological information in an intuitive manner. In this work, we aim at improving the understanding of a topological abstraction called merge tree.
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Adhitya Kamakshidasan Connect in order to contact the contributor
Submitted on : Friday, February 7, 2020 - 3:44:20 AM
Last modification on : Saturday, June 25, 2022 - 10:44:02 PM
Long-term archiving on: : Friday, May 8, 2020 - 2:47:22 PM


Files produced by the author(s)


  • HAL Id : hal-02343997, version 2


Adhitya Kamakshidasan, Vijay Natarajan. Understanding Merge Trees with Force-Directed Landscapes. IEEE VIS 2019 - IEEE Conference on Visualization, Oct 2019, Vancouver, Canada. ⟨hal-02343997v2⟩



Record views


Files downloads