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Caroline Peltier (INRAE), « Regularized Generalized Canonical Correlation Analysis »

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mercredi 01 décembre 2021 mercredi 01 décembre 2021
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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.


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