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Clustering categorical functional data

Categorical functional data represented by paths of a stochastic jump process with continuous time are considered for clustering. For Markov models we propose an EM algorithm to estimate a mixture of Markov processes. A simulation study as well as a real application on hospital stays will be presented. Joint work with Vincent Vandewalle and Cristina Preda.

Dates: 
Tuesday, March 8, 2016 - 14:00 to 15:00
Location: 
Inria Lille - Nord Europe, bâtiment A, salle plénière
Speaker(s): 
Cristian Preda
Affiliation(s): 
Université de Lille & Inria Lille - Nord Europe (MODAL)