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

Author: Ruben Bauer Source: doi.org/10.1111/cgf.70122 License: CC BY 4.0 The figures of the main paper are: examples\notebooks\plot_examples\two_d_clipping_and_distribution.ipynb used to generate Figure 2 examples\notebooks\plot_examples\three_dimensional_case.ipynb used to generate Figure 3 examples\notebooks\plot_examples\two_d_clipping_and_distribution.ipynb used to generate Figure 4 examples\notebooks\plot_examples\two_d_major_transition_directions.ipynb used to generate Figure 5 examples\notebooks\single_dataset_convenience_plots\iris_conv_plot.ipynb used to generate Figure 6, 7, 8, 9, 10, 12 examples\notebooks\plot_examples\space_dividing_line.ipynb used to generate Figure 11 examples\notebooks\single_dataset_convenience_plots\semiconductor_conv_plot.ipynb used to generate Figure 14 examples\notebooks\single_dataset_convenience_plots\droplet_impact_conv_plot.ipynb used to generate Figure 15, 16 For the supplemental material: examples\notebooks\plot_examples\normal_vectors_angle_vis.ipynb used to generate Figure 1 examples\notebooks\plot_examples\plane_plane_distance.ipynb used to generate Figure 2 examples\notebooks\plot_examples\runtime_experiments_2.ipynb used to generate Figure 3, 4 examples\notebooks\plot_examples\bandwidth_experiments.ipynb used to generate Figure 5 - 15 Install Tested with Python 3.12.3.

Setup virtual environment with Python: python -m venv .venv Activate the environment, then install the requirements via: pip install -r requirements.txt Run python ./main.py to run the main example.