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


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3751042</identifier>
  <creators>
    <creator>
      <creatorName>Joaquín Torres-Sospedra</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4338-4334</nameIdentifier>
      <affiliation>UBIK Geospatial Solutions</affiliation>
    </creator>
    <creator>
      <creatorName>Darwin Quezada-Gaibor</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8064-9955</nameIdentifier>
      <affiliation>Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Germán Mendoza-Silva</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2744-0236</nameIdentifier>
      <affiliation>Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Jari Nurmi</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2169-4606</nameIdentifier>
      <affiliation>Electrical Engineering Unit, Tampere University, Tampere, Finland</affiliation>
    </creator>
    <creator>
      <creatorName>Yevgeny Koucheryavy</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3976-297X</nameIdentifier>
      <affiliation>Electrical Engineering Unit, Tampere University, Tampere, Finland</affiliation>
    </creator>
    <creator>
      <creatorName>Joaquín Huerta</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8625-441X</nameIdentifier>
      <affiliation>Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Indoor Positioning</subject>
    <subject>Clustering</subject>
    <subject>k-NN</subject>
    <subject>k-Means</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-04</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3751042</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3751041</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/a_wear</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ipin</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&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;</description>
    <description descriptionType="Other">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).}</description>
    <description descriptionType="Other">{"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."]}</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/813278/">813278</awardNumber>
      <awardTitle>A network for dynamic WEarable Applications with pRivacy constraints</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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