Software Open Access

Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'

Joaquín Torres-Sospedra; Darwin Quezada-Gaibor; Germán Mendoza-Silva; Jari Nurmi; Yevgeny Koucheryavy; Joaquín Huerta


JSON-LD (schema.org) Export

{
  "description": "<p>Supplementary Materials for &quot;New Cluster Selection and Fine-grained Search for&nbsp;k-Means Clustering and Wi-Fi Fingerprinting https://zenodo.org/record/3751042</p>\n\n<p>This package includes the materials and methods to reproduce the results&nbsp;presented in the paper detailed below. If you would like to re-use the software&nbsp;provided and/or the empirical evaluation please cite the two following items.&nbsp;</p>\n\n<blockquote>\n<p>Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.;&nbsp;Nurmi, J.;&nbsp;Koucheryavy, Y. and Huerta, J. &quot;New Cluster Selection&nbsp;and Fine-grained Search&nbsp;for k-Means Clustering and Wi-Fi&nbsp;Fingerprinting&quot;. In Proceedings of the Tenth&nbsp;International&nbsp;Conference on Localization and GNSS (ICL-GNSS), 2020.</p>\n</blockquote>\n\n<blockquote>\n<p>Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.;&nbsp;Nurmi, J.;&nbsp;Koucheryavy, Y. and Huerta, J. &quot;Supplementary&nbsp;Materials for &#39;New Cluster&nbsp;Selection and Fine-grained Search for&nbsp;k-Means Clustering and Wi-Fi&nbsp;Fingerprinting&#39;&quot;, Zenodo, 2020.&nbsp;[Available Online]&nbsp;https://zenodo.org/record/3751042</p>\n</blockquote>\n\n<p>If you would like to re-use the databases included in this paper, please cite&nbsp;the corresponding sources as indicated in the readme file in the folder&nbsp;&#39;databases&#39;.</p>\n\n<p>If you want to re-run the experiments in your computer, please execute the&nbsp;script executeAll (provided for MatLab/Octave and linux shell). A summary of the&nbsp;results has been included to generate the figures and tables included in the&nbsp;paper. If you want to generate the same figures for the results obtained with&nbsp;your computer, please execute the script csv4all to generate the new summarized&nbsp;results in the &quot;Results_CSV&quot; folder and modify the scripts included in folder&nbsp;&quot;Tables_and_Figures&quot; to target the new summarized.</p>\n\n<p>If you have any questions about this package, please do not hesitate to contact&nbsp;J. Torres-Sospedra (jtorres@uji.es -- info@jtorr.es -- jtorres.phd@gmail.com).</p>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "UBIK Geospatial Solutions", 
      "@id": "https://orcid.org/0000-0003-4338-4334", 
      "@type": "Person", 
      "name": "Joaqu\u00edn Torres-Sospedra"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@id": "https://orcid.org/0000-0002-8064-9955", 
      "@type": "Person", 
      "name": "Darwin Quezada-Gaibor"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@id": "https://orcid.org/0000-0003-2744-0236", 
      "@type": "Person", 
      "name": "Germ\u00e1n Mendoza-Silva"
    }, 
    {
      "affiliation": "Electrical Engineering Unit, Tampere University, Tampere, Finland", 
      "@id": "https://orcid.org/0000-0003-2169-4606", 
      "@type": "Person", 
      "name": "Jari Nurmi"
    }, 
    {
      "affiliation": "Electrical Engineering Unit, Tampere University, Tampere, Finland", 
      "@id": "https://orcid.org/0000-0003-3976-297X", 
      "@type": "Person", 
      "name": "Yevgeny Koucheryavy"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@id": "https://orcid.org/0000-0002-8625-441X", 
      "@type": "Person", 
      "name": "Joaqu\u00edn Huerta"
    }
  ], 
  "url": "https://zenodo.org/record/3751042", 
  "datePublished": "2020-06-04", 
  "version": "1.0", 
  "keywords": [
    "Indoor Positioning", 
    "Clustering", 
    "k-NN", 
    "k-Means"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3751042", 
  "@id": "https://doi.org/10.5281/zenodo.3751042", 
  "@type": "SoftwareSourceCode", 
  "name": "Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'"
}
146
25
views
downloads
All versions This version
Views 146146
Downloads 2525
Data volume 473.0 MB473.0 MB
Unique views 125125
Unique downloads 2525

Share

Cite as