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

Massoni, Sebastien, Olteanu, Madalina, & Villa-Vialaneix, Nathalie (2013) Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study. Lecture Notes in Computer Science, 7902, pp. 69-79.

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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.

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ID Code: 61299
Item Type: Journal Article
Refereed: Yes
Additional Information: Published as proceedings of IWANN 2013, Part I. Edited by I. Rojas, G. Joya, and J. Cabestany.
ISSN: 1611-3349
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Economics & Finance
Deposited On: 25 Jul 2013 22:27
Last Modified: 28 Jul 2013 21:33

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