Veröffentlicht 2024 | Version v1
Dataset Offen

Benchmark datasets for Keeping it sparse: Computing Persistent Homology revisited

  • 1. ROR icon Linköping University
  • 2. ROR icon University at Albany, State University of New York
  • 3. ROR icon Graz University of Technology
  • 1. ROR icon Technical University of Munich
  • 2. ROR icon Institut Polytechnique de Paris
  • 3. ROR icon Ben-Gurion University of the Negev

Beschreibung

This repository contains the datasets used in the experimental section of the paper

"Keeping it sparse: Computing Persistent Homology revisited"

by Ulrich Bauer, Talha Bin Masood, Barbara Giunti, Guillaume Houry, Michael Kerber, Abhishek Rathod

See the bitbucket repository

https://bitbucket.org/phat-code/phat/src/keeping_it_sparse_experiments/

for the software configuration required.

Dateien

Dateien (10.0 GB)

Name Größe Alle herunterladen
md5:92521d5612a89639f4cd11acea1d4fd0
10.0 GB Herunterladen

Weitere Details

Verknüpfte Arbeiten

Is described by
Publication: arXiv:2211.09075 (arXiv)

Förderung

FWF Austrian Science Fund
Algorithms for Topological Data Analysis P 29984-N35
FWF Austrian Science Fund
Multi-parameter Persistent Homology P 33765-N

Daten

Created
2024-05-08