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Characterizing Measures for the Assessment of Cluster Analysis and Community Detection

<p><strong>Description. </strong>The dataset is constituted of:</p> <ul> <li>`figs.zip`: an archive containing the plot files;</li> <li>`data&amp;results.zip`: an archive containing the necessary data to perform our analysis, as well as result files.</li> </ul> <p>These are the resources used&nbsp;in the following articles:</p> <ol> <li>N. Arınık, V. Labatut and R. Figueiredo, "Characterizing measures for the assessment of cluster analysis and community detection", Mod&egrave;les &amp; Analyse des R&eacute;seaux : Approches Math&eacute;matiques &amp; Informatiques (MARAMI), 2020.&nbsp;⟨<a href="https://hal.archives-ouvertes.fr/hal-02993542">hal-02993542</a>⟩</li> <li>N. Arınık, R. Figueiredo, and V. Labatut, &ldquo;Characterizing and comparing external measures for the assessment of cluster analysis and community detection,&rdquo; <em>IEEE Access&nbsp;</em>9:20255&ndash;20276, 2021.&nbsp;DOI:&nbsp;<a href="http://doi.org/10.1109/access.2021.3054621">10.1109/access.2021.3054621</a>&nbsp;⟨<a href="https://hal.archives-ouvertes.fr/hal-03124118">hal-03124118</a>⟩</li> </ol> <p><strong>Source code. </strong>The associated source code is available on GitHub:&nbsp;<a href="https://github.com/CompNet/ExtMeasEval">https://github.com/CompNet/ExtMeasEval</a></p> <p><strong>Citation. </strong>If you use these data, please cite the paper [2].</p> <p><br><code>@Article{Arinik2021,</code><br><code>&nbsp; author &nbsp; &nbsp;= {Arınık, Nejat and Figueiredo, Rosa and Labatut, Vincent},</code><br><code>&nbsp; title &nbsp; &nbsp; = {Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection},</code><br><code>&nbsp; journal &nbsp; = {IEEE Access},</code><br><code>&nbsp; year &nbsp; &nbsp; &nbsp;= {2021},</code><br><code>&nbsp; volume &nbsp; &nbsp;= {9},</code><br><code>&nbsp; pages &nbsp; &nbsp; = {20255-20276},</code><br><code>&nbsp; doi &nbsp; &nbsp; &nbsp; = {10.1109/access.2021.3054621},</code><br><code>}</code></p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics