Communication Dans Un Congrès Année : 2020

Characterizing measures for the assessment of cluster analysis and community detection

Résumé

The problem of comparing two partitions of the same set occurs in a number of situations, the most widespread being probably the assessment of cluster anal- ysis and community detection results. In these contexts, one has computed the clusters of a dataset, or the community structure of a network. This result takes the form of a partition of the set of data points or set of nodes, respectively. One then wants to compare this estimation with some ground-truth also taking the form of a partition. Alternatively, one has computed several such estimations, for instance using several algorithms, and wants to compare them to each other.

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hal-02993542 , version 1 (06-11-2020)

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Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Characterizing measures for the assessment of cluster analysis and community detection. 11ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2020, Montpellier (en ligne), France. pp.4. ⟨hal-02993542⟩

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