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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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3751042", 
  "title": "Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'", 
  "issued": {
    "date-parts": [
      [
        2020, 
        6, 
        4
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Joaqu\u00edn Torres-Sospedra"
    }, 
    {
      "family": "Darwin Quezada-Gaibor"
    }, 
    {
      "family": "Germ\u00e1n Mendoza-Silva"
    }, 
    {
      "family": "Jari Nurmi"
    }, 
    {
      "family": "Yevgeny Koucheryavy"
    }, 
    {
      "family": "Joaqu\u00edn Huerta"
    }
  ], 
  "note": "This package includes the function localclustering_kmeans.m which was originally\u00a0included in Octave 5.1.0 Statistical Package as kmeans.m. It was developed by\u00a0Soren Hauberg  (2011), Daniel Ward  (2012)\u00a0\nand Lachlan Andrew  (2015-2016); and released under GNU\u00a0General Public License.\n\nThe authors gratefully acknowledge funding from Ministerio de Ciencia,\u00a0Innovaci\u00f3n y Universidades (INSIGNIA, PTQ2018-009981); European Union's\u00a0H2020 Research and Innovation programme under the Marie Sk\u0142odowska-Curie\u00a0grant agreement No.813278 (A-WEAR, http://www.a-wear.eu/); and\u00a0Universitat Jaume I (PREDOC/2016/55).}", 
  "version": "1.0", 
  "type": "article", 
  "id": "3751042"
}
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