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This packages proposes a modelbased clustering algorithm for multivariate functional data. The parametric mixture model, based on the assumption of normality of the principal components resulting from a multivariate functional PCA, is estimated by an EMlike algorithm. The main advantage of the proposed algorithm is its ability to take into account the dependence among curves.
Package details 


Author  Mohamed Soueidatt <mohamed.soueidatt@inria.fr>, <msoueidatt@gmail.com>*. 
Date of publication  20140115 11:52:11 
Maintainer  Vincent KUBICKI <vincent.kubicki@inria.fr> 
License  GPL (>= 2) 
Version  1.0.1 
Package repository  View on CRAN 
Installation 
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