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Communication Dans Un Congrès Année : 2020

Characterizing measures for the assessment of cluster analysis and community detection

Nejat Arinik
Rosa Figueiredo
Vincent Labatut

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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Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales

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  • HAL Id : hal-02993542 , version 1

Citer

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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