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

This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. <br>

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

<h3>Figures</h3> <br>

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

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

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

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

<h3>Install</h3><br>
<p>
Tested with Python 3.12.3.
</p><br>
<ol>
<li>Setup virtual environment with Python: python -m venv .venv</li>
<li>Activate the environment, then install the requirements via: pip install -r requirements.txt</li>
<li>Run python ./main.py to run the main example.</li>
</ol>