Communication Dans Un Congrès Année : 2013

Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study

Résumé

Originally developed in bioinformatics, sequence analysis is being increasingly used in social sciences for the study of life-course processes. The methodology generally employed consists in computing dissimilarities between the trajectories and, if typologies are sought, in clustering the trajectories according to their similarities or dissemblances. The choice of an appropriate dissimilarity measure is a major issue when dealing with sequence analysis for life sequences. Several dissimilarities are available in the literature, but neither of them succeeds to become indisputable. In this paper, instead of deciding upon one dissimilarity measure, we propose to use an optimal convex combination of different dissimilarities. The optimality is automatically determined by the clustering procedure and is defined with respect to the within-class variance.

Fichier principal
Vignette du fichier
massoni_etal_IWANN2013.pdf (483.44 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-00854302 , version 1 (26-08-2013)

Licence

Identifiants

  • HAL Id : hal-00854302 , version 1

Citer

Sébastien Massoni, Madalina Olteanu, Nathalie Villa-Vialaneix. Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study. IWANN 2013, Jun 2013, Puerto de la Cruz, Tenerife, Spain. session 12-1A, paper 2. ⟨hal-00854302⟩
444 Consultations
393 Téléchargements

Partager

  • More