Statistique - Probabilités - Optimisation et Contrôle

Caroline Peltier (INRAE), "Regularized Generalized Canonical Correlation Analysis"

René Baire (IMB)

René Baire


Multidisciplinary approaches are now common in scientific research and provide multiple and heterogeneous sources of measures of a given phenomenon. These sources can be viewed as a collection of interconnected datasets and dedicated algorithms are mandatory for providing relevant information from multi-source data. Regularized Generalized Canonical Correlation Analysis (RGCCA) is a general statistical framework for multi-source data analysis. In this presentation, RGCCA will be described then applied for combining physico-chemical and sensory data.