Rechercher

Regularized Generalized Canonical Correlation Analysis as general framework for Structured data analysis.

Lieu: CNAM
Date et Heure de début: 16-03-2018
Description:

 

Bonjour,
 
Le prochain séminaire de Statistique appliquée du CNAM se tiendra le  vendredi 16 mars de 11h à 12h
en salle 35.1.53 (2 rue Conté, entrée 35, 1er étage).

Nous accueillerons Arthur Tenenhaus, pour une conférence intitulée:

Regularized Generalized Canonical Correlation Analysis as general framework for  Structured data analysis.

Summary : The challenges related to the use of massive amounts of data include identifying the relevant variables, reducing dimensionality, summarizing information in a comprehensible way and displaying it for interpretation purposes. Often, these data are intrinsically structured in blocks of variables, in groups of individuals or in tensor. Classical statistical tools cannot be applied without altering their structure leading to the risk of information loss. The need to analyze the data by taking into account their natural structure appears to be essential but requires the development of new statistical techniques. In that context a general framework for structured data analysis based on Regularized Generalized Canonical Correlation Analysis (RGCCA) will be presented.
Organise: MSDMA
Contact: Avner Bar-Hen
avnercnam.fr