Processed numerical data for “A Distributed Clustering and Alignment Method for Cooperative Localization from Short-Range Measurements in Dynamic Irregular Networks”
Description
This dataset contains processed numerical tables supporting the simulation results reported in the manuscript. The study evaluates a distributed clustering and alignment method for cooperative localization from incomplete and noisy short-range measurements in dynamic irregular networks. The tables include ablation results, recovery statistics, baseline comparisons, scenario wise performance summaries, and same reduced sample checks. The reported metrics include median RMSE, mean RMSE, P90 RMSE, structural failure rate, success rate, runtime per epoch, local map memberships, and membership per node. The data are provided as CSV files together with a README file.
Files
Steps to reproduce
The dataset contains processed numerical tables supporting the simulation results reported in the manuscript. To reproduce the reported tables, download and unzip the dataset, read the README.txt file, and inspect the CSV files in the tables folder. The DATA_DICTIONARY.csv file explains the meaning of the reported fields and metrics, including median RMSE, mean RMSE, P90 RMSE, structural failure rate, success rate, runtime per epoch, local map memberships, and membership per node. The original MATLAB implementation is not included in this dataset and is available from the corresponding author upon reasonable request.