Research data supporting: "Maximum Information Extraction From Noisy Data Via Shannon Entropy Minimization"

This repository contains the set of data and the code to reproduce the results shown in: "Maximum Information Extraction Via Clustering and Minimization of Shannon Entropy", version v3. The script /run_all.py, run in the main folder, runs ent-to-end all the analyses necessary to generate all the figures in the paper. Some of the Supporting Information figures are instead generated with the script review_tests/run_all.py. Contains the following folders: datasets/ contains the trajectory files of ice/water coexistence, and the .json files for the analysis of Fig3. Fig1/ contains the code for the analyses shown in Fig1. Fig2/ contains the code for the analyses shown in Fig2 and FigS1. Fig3/ contains the code for the analyses shown in Fig3. Fig4/ contains the trajectory and code for the analyses shown in Fig4 and FigS2. Fig4_3D_case/ contains the trajectory and code for the gray curves in Fig4 (3D case). review_tests/ contains the data and code for some additional analyses reported in the SI.本仓库包含用于复现论文《通过聚类与香农熵最小化实现最大信息提取》（版本v3）中展示结果的全套数据与代码。在主文件夹中运行/run_all.py脚本，即可端到端执行论文中生成所有图表所需的全部分析流程。部分补充材料（Supporting Information）图表则通过review_tests/run_all.py脚本生成。本仓库包含以下文件夹：datasets/：存放冰/水共存体系的轨迹文件，以及用于图3分析的.json格式数据文件。Fig1/：包含复现图1分析结果的代码。Fig2/：包含复现图2与补充图S1分析结果的代码。Fig3/：包含复现图3分析结果的代码。Fig4/：包含复现图4与补充图S2分析结果的轨迹文件与代码。Fig4_3D_case/：包含复现图4中灰色曲线（三维场景）所需的轨迹文件与代码。review_tests/：包含补充材料中报告的部分额外分析所用的数据与代码。