6 citations · 8 across the 5 of their papers we have counts for
6 papers
Linear Dimensionality Reduction
Alain Franc
These notes are an overview of some classical linear methods in Multivariate Data Analysis. This is a good old domain, well established since the 60's, and refreshed timely as a ke…
Tensor Ranks for the Pedestrian for Dimension Reduction and Disentangling Interactions
Alain Franc
A tensor is a multi-way array that can represent, in addition to a data set, the expression of a joint law or a multivariate function. As such it contains the description of the in…
Extension of Correspondence Analysis to multiway data-sets through High Order SVD: a geometric framework
Olivier Coulaud, Alain Franc, Martina Iannacito
This paper presents an extension of Correspondence Analysis (CA) to tensors through High Order Singular Value Decomposition (HOSVD) from a geometric viewpoint. Correspondence analy…
Nonlinear Mapping and Distance Geometry
Alain Franc, Pierre Blanchard, Olivier Coulaud
Distance Geometry Problem (DGP) and Nonlinear Mapping (NLM) are two well established questions: Distance Geometry Problem is about finding a Euclidean realization of an incomplete…
diagno-syst: a tool for accurate inventories in metabarcoding
J. -M. Frigerio, F. Rimet, A. Bouchez +6
Metabarcoding on amplicons is rapidly expanding as a method to produce molecular based inventories of microbial communities. Here, we work on freshwater diatoms, which are microalg…
Exact and approximate inference in graphical models: variable elimination and beyond
Nathalie Peyrard, Marie-Josée Cros, Simon de Givry +5
Probabilistic graphical models offer a powerful framework to account for the dependence structure between variables, which is represented as a graph. However, the dependence betwee…