DOI: 10.18419/darus-4930
title: Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples

description: This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. &lt;br&gt;

&lt;h3&gt;Code Repository&lt;/h3&gt;&lt;br&gt;
A dynamic version of the code repository can be found at &lt;a href="https://github.com/rbnbr/VoroParaSense"&gt;https://github.com/rbnbr/VoroParaSense&lt;/a&gt;.&lt;br&gt;
The version presented in this dataset corresponds to the version used in the corresponding paper (referenced as &lt;a href="https://github.com/rbnbr/VoroParaSense/releases/tag/v1.0.0"&gt;v1.0.0&lt;/a&gt;) and does not contain post-publication changes to the repository. 

&lt;h3&gt;Figures&lt;/h3&gt; &lt;br&gt;

Some of the figures contained in the Jupyter Notebooks were used to generate the CC BY 4.0 licensed figures in &lt;a href="https://doi.org/10.1111/cgf.70122"&gt;https://doi.org/10.1111/cgf.70122&lt;/a&gt;. 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. &lt;br&gt;&lt;br&gt;

&lt;p&gt;
 Author: Ruben Bauer &lt;br&gt;
 Source: &lt;a href="https://doi.org/10.1111/cgf.70122"&gt;https://doi.org/10.1111/cgf.70122&lt;/a&gt; &lt;br&gt;
 License: &lt;a href="http://creativecommons.org/licenses/by/4.0"&gt;CC BY 4.0&lt;/a&gt; &lt;br&gt;
&lt;/p&gt;

The figures of the main paper are:&lt;br&gt;
&lt;ol&gt;
&lt;li&gt;examples\notebooks\plot_examples\two_d_clipping_and_distribution.ipynb used to generate Figure 2&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\three_dimensional_case.ipynb used to generate Figure 3&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\two_d_clipping_and_distribution.ipynb used to generate Figure 4&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\two_d_major_transition_directions.ipynb used to generate Figure 5&lt;/li&gt;
&lt;li&gt;examples\notebooks\single_dataset_convenience_plots\iris_conv_plot.ipynb used to generate Figure 6, 7, 8, 9, 10, 12&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\space_dividing_line.ipynb used to generate Figure 11&lt;/li&gt;
&lt;li&gt;examples\notebooks\single_dataset_convenience_plots\semiconductor_conv_plot.ipynb used to generate Figure 14&lt;/li&gt;
&lt;li&gt;examples\notebooks\single_dataset_convenience_plots\droplet_impact_conv_plot.ipynb used to generate Figure 15, 16&lt;/li&gt;
&lt;/ol&gt;&lt;br&gt;

For the supplemental material:&lt;br&gt;
&lt;ol&gt;
&lt;li&gt;examples\notebooks\plot_examples\normal_vectors_angle_vis.ipynb used to generate Figure 1&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\plane_plane_distance.ipynb used to generate Figure 2&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\runtime_experiments_2.ipynb used to generate Figure 3, 4&lt;/li&gt;
&lt;li&gt;examples\notebooks\plot_examples\bandwidth_experiments.ipynb used to generate Figure 5 - 15&lt;/li&gt;
&lt;/ol&gt;

&lt;h3&gt;Install&lt;/h3&gt;&lt;br&gt;
&lt;p&gt;
Tested with Python 3.12.3.
&lt;/p&gt;&lt;br&gt;
&lt;ol&gt;
&lt;li&gt;Setup virtual environment with Python: python -m venv .venv&lt;/li&gt;
&lt;li&gt;Activate the environment, then install the requirements via: pip install -r requirements.txt&lt;/li&gt;
&lt;li&gt;Run python ./main.py to run the main example.&lt;/li&gt;
&lt;/ol&gt;
description: Use persistent identifiers from Software Heritage (
 
) to cite individual files or even lines of the source code.