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This package contains all the functions used to run the experiments in the paper cited below. Please, if you want to use this software, don't forget to cite the source.
\n\n* Quezada-Gaibor, D., Klus, L., Torres-Sospedra, J., Lohan, E. S., Nurmi, J. and Huerta, J., 2020, October. Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices, In 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. 208-213). IEEE. https://doi.org/10.1109/ICUMT51630.2020.9222411
\n\n* Quezada-Gaibor, D., Klus, L., Torres-Sospedra, J., Lohan, E. S., Nurmi, J. and Huerta, J., 2020, October. Supplementary Materials for "Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices", Zenodo, [Available Online] https://zenodo.org/record/3983634
\n\nIf you would like to run the experiments, please follow the instructions in the README file.
\n\nNote: This package is based on the material provided by Torres-Sospedra et al. (https://zenodo.org/record/3751042)
\n* Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.; Nurmi, J.; Koucheryavy, Y. and Huerta, J. "New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting". In Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020.
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'.
\n\nDon't hesitate to contact me if you have any questions (quezada@uji.es, darwinqg1@hotmail.com)
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\r\n\r\nA-WEAR project has received funding from the European Union’s Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278. This website and the content displayed in it do not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of its content.
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The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
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", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom and earlier Framework Programmes.", "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
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