Analyse en composantes principales d'un flux de données d'espérance variable dans le temps
Résumé
We consider a data stream and suppose that each data is a realization of a random vector whose expectation varies in time, each component following a linear model. We use stochastic approximation processes to estimate on line the parameters of the linear models and simultaneously the principal components of the data.
Origine : Fichiers produits par l'(les) auteur(s)
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