Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study
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12 juin 2013
- ISIDORE Id: 10670/1.501416...
- hal: hal-00854302
info:eu-repo/semantics/OpenAccess
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Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examinationCiter ce document
Sébastien Massoni et al., « Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.501416...
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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.
