@. S. Girard and S. Iovleff, Auto-Associative Models, Nonlinear Principal Component Analysis, Manifolds and Projection Pursuit, Principal Manifolds for Data Visualisation and Dimension Reduction, pp.205-222, 2007.
DOI : 10.1007/978-3-540-73750-6_8
URL : https://hal.archives-ouvertes.fr/hal-00383137

@. S. Girard and S. Iovleff, Auto-associative models and generalized principal component analysis, Journal of Multivariate Analysis, vol.93, issue.1, pp.21-39, 2005.
DOI : 10.1016/j.jmva.2004.01.006
URL : https://hal.archives-ouvertes.fr/hal-00985337

@. S. Girard, A nonlinear PCA based on manifold approximation, Computational Statistics, vol.15, issue.2, pp.145-167, 2000.
DOI : 10.1007/s001800000025
URL : https://hal.archives-ouvertes.fr/hal-00724764

@. B. Chalmond and S. Girard, Nonlinear modeling of scattered multivariate data and its application to shape change, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.5, pp.422-432, 1999.
DOI : 10.1109/34.765654

@. S. Girard, B. Chalmond, and J. Dinten, Position of principal component analysis among auto-associative composite models, Comptes-Rendus de l'Académie des Sciences, t. 326, Série I, pp.763-768, 1998.

@. S. Girard, B. Chalmond, and J. Dinten, Designing non linear models for flexible curves, Curves and Surfaces with Application, pp.135-142, 1997.