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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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    <dct:title>Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'</dct:title>
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    <dcat:keyword>Indoor Positioning</dcat:keyword>
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    <dct:description>&lt;p&gt;Supplementary Materials for &amp;quot;New Cluster Selection and Fine-grained Search for&amp;nbsp;k-Means Clustering and Wi-Fi Fingerprinting https://zenodo.org/record/3751042&lt;/p&gt; &lt;p&gt;This package includes the materials and methods to reproduce the results&amp;nbsp;presented in the paper detailed below. If you would like to re-use the software&amp;nbsp;provided and/or the empirical evaluation please cite the two following items.&amp;nbsp;&lt;/p&gt; &lt;blockquote&gt; &lt;p&gt;Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.;&amp;nbsp;Nurmi, J.;&amp;nbsp;Koucheryavy, Y. and Huerta, J. &amp;quot;New Cluster Selection&amp;nbsp;and Fine-grained Search&amp;nbsp;for k-Means Clustering and Wi-Fi&amp;nbsp;Fingerprinting&amp;quot;. In Proceedings of the Tenth&amp;nbsp;International&amp;nbsp;Conference on Localization and GNSS (ICL-GNSS), 2020.&lt;/p&gt; &lt;/blockquote&gt; &lt;blockquote&gt; &lt;p&gt;Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.;&amp;nbsp;Nurmi, J.;&amp;nbsp;Koucheryavy, Y. and Huerta, J. &amp;quot;Supplementary&amp;nbsp;Materials for &amp;#39;New Cluster&amp;nbsp;Selection and Fine-grained Search for&amp;nbsp;k-Means Clustering and Wi-Fi&amp;nbsp;Fingerprinting&amp;#39;&amp;quot;, Zenodo, 2020.&amp;nbsp;[Available Online]&amp;nbsp;https://zenodo.org/record/3751042&lt;/p&gt; &lt;/blockquote&gt; &lt;p&gt;If you would like to re-use the databases included in this paper, please cite&amp;nbsp;the corresponding sources as indicated in the readme file in the folder&amp;nbsp;&amp;#39;databases&amp;#39;.&lt;/p&gt; &lt;p&gt;If you want to re-run the experiments in your computer, please execute the&amp;nbsp;script executeAll (provided for MatLab/Octave and linux shell). A summary of the&amp;nbsp;results has been included to generate the figures and tables included in the&amp;nbsp;paper. If you want to generate the same figures for the results obtained with&amp;nbsp;your computer, please execute the script csv4all to generate the new summarized&amp;nbsp;results in the &amp;quot;Results_CSV&amp;quot; folder and modify the scripts included in folder&amp;nbsp;&amp;quot;Tables_and_Figures&amp;quot; to target the new summarized.&lt;/p&gt; &lt;p&gt;If you have any questions about this package, please do not hesitate to contact&amp;nbsp;J. Torres-Sospedra (jtorres@uji.es -- info@jtorr.es -- jtorres.phd@gmail.com).&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;</dct:description>
    <dct:description>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. The authors gratefully acknowledge funding from Ministerio de Ciencia, Innovación y Universidades (INSIGNIA, PTQ2018-009981); European Union's H2020 Research and Innovation programme under the Marie Skłodowska-Curie grant agreement No.813278 (A-WEAR, http://www.a-wear.eu/); and Universitat Jaume I (PREDOC/2016/55).}</dct:description>
    <dct:description>{"references": ["J. Torres-Sospedra, D. Quezada-Gaibor, G. M. Mendoza-Silva, J. Nurmi, Y. Koucheryavy and J. Huerta, \"New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting,\" 2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020, pp. 1-6, doi: 10.1109/ICL-GNSS49876.2020.9115419."]}</dct:description>
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