Provides a variety of original and flexible user-friendly
statistical latent variable models for the simultaneous clustering and
segmentation of heterogeneous functional data (i.e time series, or more
generally longitudinal data, fitted by unsupervised algorithms, including
EM algorithms. Functional Latent Data Models for Clustering heterogeneous
curves ('FLaMingos') are originally introduced and written in 'Matlab' by
The references are mainly the following ones.
Chamroukhi F. (2010) < https://chamroukhi.com/FChamroukhi-PhD.pdf>.
Chamroukhi F., Same A., Govaert, G. and Aknin P. (2010)