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Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples

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Software, (2025)Related to: Bauer, R., Evers, M., Ngo, Q.Q., Reina, G., Frey, S. and Sedlmair, M. (2025), Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Computer Graphics Forum e70122. doi: 10.1111/cgf.70122.
DOI: 10.18419/darus-4930

Abstract

This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Code Repository: A dynamic version of the code repository can be found at https://github.com/rbnbr/VoroParaSense. The version presented in this dataset corresponds to the version used in the corresponding paper (referenced as v1.0.0) and does not contain post-publication changes to the repository. Figures: Some of the figures contained in the Jupyter Notebooks were used to generate the CC BY 4.0 licensed figures in https://doi.org/10.1111/cgf.70122. The figures here are the raw .png figures. The published figures are mostly vector graphics and were slightly modified compared to the figures rendered in the Jupyter notebooks. Author: Ruben Bauer Source: https://doi.org/10.1111/cgf.70122 License: CC BY 4.0. Install: Tested with Python 3.12.3. Setup virtual environment with Python: python -m venv .venvActivate the environment, then install the requirements via: pip install -r requirements.txtRun python ./main.py to run the main example.

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