This package includes the materials and methods to reproduce the results presented in the paper detailed below. If you would like to re-use the software provided and/or the empirical evaluation please cite the two following items. Torres-Sospedra, J.; Richter, P.; Moreira, A.; Mendoza-Silva, G.; Lohan, E.; Trilles, S.; Matey-Sanz, M. and Huerta, J. A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting IEEE Transactions on Mobile Computing, 2020 https://doi.org/10.1109/TMC.2020.3017176 Torres-Sospedra, J.; Richter, P.; Moreira, A.; Mendoza-Silva, G.; Lohan, E.; Trilles, S.; Matey-Sanz, M. and Huerta, J. "Supporting Materials for 'A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting'", v1.0, Zenodo, 2020. [Available Online] https://zenodo.org/record/3968503 If you would like to re-use the databases included in this paper, please cite the corresponding sources as indicated in the readme file in the folder 'databases'. If you want to re-run the experiments in your computer, please execute the script executeAll (provided for MatLab/Octave and linux shell). If you have any questions about this package, please do not hesitate to contact J. Torres-Sospedra (jtorres@uji.es -- info@jtorr.es -- jtorres.phd@gmail.com).

This package includes the function localclustering_kmeans.m which was originally included in Octave 5.1.0 Statistical Package as kmeans.m. It was developed by Soren Hauberg (2011), Daniel Ward (2012) and Lachlan Andrew (2015-2016); and released under GNU General Public License. This package includes the function apclusterSparseOriginal.m which was originally included in the Affinity Propagation Package as apclusterSparse.m. It was developed by Brendan J. Frey and Delbert Dueck (2006). This project have been funded by: Ministerio de Ciencia, Innovación y Universidades – INSIGNIA project (Programa Torres-Quevedo, PTQ2018-009981), Academy of Finland – PRISMA project (#313039); FCT – Fundaçao para a Ciência e a Tecnologia within the R&D Units Project Scope: UIDB/00319/2020; UJI's research programme (PREDOC/2016/55 and POSDOC-B/2018/12).

{"references": ["Torres-Sospedra, J.; Richter, P.; Moreira, A.; Mendoza-Silva, G.; Lohan, E.; Trilles, S.; Matey-Sanz, M. and Huerta, J. A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting IEEE Transactions on Mobile Computing, 2020"]}