software . 2020

Supplementary Materials for "Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices"

Quezada-Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Huerta, Joaquı́n;
Open Source English
  • Published: 15 Oct 2020
  • Publisher: Zenodo
Abstract
{"references": ["Joaqu\u00edn Torres-Sospedra, Darwin Quezada-Gaibor, Germ\u00e1n Mendoza-Silva, Jari Nurmi, Yevgeny Koucheryavy, & Joaqu\u00edn Huerta. (2020, June 4). Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting' (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.3751042", "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...
Subjects
free text keywords: Clustering; DBSCAN; PCA; RSS; Software; Wi-Fi fingerprinting
Funded by
EC| A-WEAR
Project
A-WEAR
A network for dynamic WEarable Applications with pRivacy constraints
  • Funder: European Commission (EC)
  • Project Code: 813278
  • Funding stream: H2020 | MSCA-ITN-EJD
Validated by funder
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Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Datacite
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