Published October 19, 2020 | Version 1.0.2

Characterizing Measures for the Assessment of Cluster Analysis and Community Detection

  • 1. Avignon Université

Description

Description. The dataset is constituted of:

  • `figs.zip`: an archive containing the plot files;
  • `data&results.zip`: an archive containing the necessary data to perform our analysis, as well as result files.

These are the resources used in the following articles:

  1. N. Arınık, V. Labatut and R. Figueiredo, "Characterizing measures for the assessment of cluster analysis and community detection", Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques (MARAMI), 2020. ⟨hal-02993542
  2. N. Arınık, R. Figueiredo, and V. Labatut, “Characterizing and comparing external measures for the assessment of cluster analysis and community detection,” IEEE Access 9:20255–20276, 2021. DOI: 10.1109/access.2021.3054621 ⟨hal-03124118

Source code. The associated source code is available on GitHub: https://github.com/CompNet/ExtMeasEval

Citation. If you use these data, please cite the paper [2].


@Article{Arinik2021,
  author    = {Arınık, Nejat and Figueiredo, Rosa and Labatut, Vincent},
  title     = {Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection},
  journal   = {IEEE Access},
  year      = {2021},
  volume    = {9},
  pages     = {20255-20276},
  doi       = {10.1109/access.2021.3054621},
}

Files

data&results.zip

Files (2.9 MB)

Name Size Download all
md5:c10e333740b14fdc710fdb3052dcb101
2.6 MB Preview Download
md5:31ce08ba2a1a1e165cc2bdc958df6b7d
319.7 kB Preview Download

Additional details

Related works

Is compiled by
Software: https://github.com/CompNet/ExtMeasEval (URL)
Is documented by
Journal article: 10.1109/access.2021.3054621 (DOI)
Obsoletes
Dataset: 10.6084/m9.figshare.13109813 (DOI)