Characterizing Measures for the Assessment of Cluster Analysis and Community Detection

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: 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⟩ 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},}数据集说明：本数据集由以下两部分构成： `figs.zip`：内含绘图文件的压缩归档包； `data&results.zip`：包含本研究分析所需全部数据以及结果文件的压缩归档包。 以下为两篇学术论文所使用的相关研究资源： 1. N. Arınık、V. Labatut与R. Figueiredo，《面向聚类分析（cluster analysis）与社区检测（community detection）评估的指标特征刻画》，《网络建模与分析：数学与信息学方法（MARAMI）》，2020年，存档编号⟨hal-02993542⟩ 2. N. Arınık、R. Figueiredo与V. Labatut，《面向聚类分析与社区检测评估的外部评估指标（external measures）的特征刻画与比较》，《IEEE存取（IEEE Access）》第9卷：20255–20276，2021年，DOI：10.1109/access.2021.3054621，存档编号⟨hal-03124118⟩ 源代码说明：相关源代码已托管于GitHub平台，地址为：https://github.com/CompNet/ExtMeasEval 引用说明：若使用本数据集，请引用上述第二篇学术文献[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}, }