Principal Component Analysis

Learn about Principal Component Analysis, a data reduction technique, to identify, quantify & visualise the structure of a set of measurements. PCA provides insightful data visualisation tools. Learn about innovative applications. During the workshop, emphasis is put on the principles and the conditions of utilization of the method, the results they provide and their interpretation. Plenty of time is devoted to case studies and interpretation of software output.

Analyse en composantes principales – ACP

Découvrez l'analyse en composantes principales, une technique de réduction des données, pour identifier, quantifier et visualiser la structure d'un ensemble de mesures. L'ACP fournit des outils de visualisation de données perspicaces. Découvrez des applications innovantes. Au cours de l'atelier, l'accent est mis sur les principes et les conditions d'utilisation de la méthode, les résultats qu'ils fournissent et leur interprétation. Une grande partie du temps est consacrée aux études de cas et à l'interprétation des résultats du logiciel.

Cluster Analysis – Unsupervised Learning

Learn how to take data (consumers, genes, ...) and organise them into homogeneous groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks. Learn about this very active field of research in statistics and data mining, and discover new techniques. Learn about innovative applications. During the workshop, emphasis is put on the principles and the conditions of utilization of the method, the results they provide and their interpretation. Plenty of time is devoted to case studies and interpretation of software output.

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