Code and data for the paper "Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids."

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• CENTROIDS
  • Table of Contents
  • Summary
  • Usage
    • Setup
    • Execution

This project implements the code and data necessary to generate the figures and results of the paper "Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids." This repository contains multiple python scripts for generating the various results of the paper with multiple data -> script -> output workflows.

The project is laid out as follows:

• src/: the Python files implementing each experiment.
• data/: the data files necessary to run the experiment.
• example_output/: example files demonstrating the output of the experiment.

Brief installation instructions can be found in Setup, and use of the scripts can be found in Execution.

Create and activate a virtual Python environment with your favorite tool (e.g., conda, mamba, or venv).

For example, with conda:

conda create -n centroids python=3.11
conda activate centroids

Next, install dependencies while inside this virtual environment via the requirements.txt file at the top of this repo:

pip install -r requirements.txt

Each experiment lives in Python files under the src/ directory. To execute each experiment, simply run the file through the Python interpreter while in your virtual environment as follows:

python src/<experiment>.py

where <experiment> is the name of the file that you wish to run.

Examples of the output files that are generated during these experiments can be seen in the example_output/ directory.