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Characterizing measures for the assessment of cluster analysis and community detection

Abstract : 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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https://hal.archives-ouvertes.fr/hal-02993542
Contributor : Nejat Arinik Connect in order to contact the contributor
Submitted on : Friday, November 6, 2020 - 7:17:19 PM
Last modification on : Thursday, August 5, 2021 - 10:03:14 AM

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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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