TY  - Type of reference 
TI  - Clustering of variables and multivariate analysis of mixed data from BCI study 
AU  - Jérôme Saracco 
AU  - Marie Chavent 
AU  - Liliana Audin-Garcia 
AU  - Véronique Lespinet-Najib 
AU  - Ricardo Ron-Angevin 
AB  - The aim of this work is to analyze complex data from a Brain Computer Interfaces (BCI) study using
multivariate statistical methods (PCAmix approach and clustering of variables) to better understand and interpret their
relationships. This article presents clustering of variables which aim is to lump together strongly related variables. The
proposed approach works on a mixed data set, i.e. on a data set which contains numerical variables and categorical
variables. Two algorithms of clustering of variables are described : a hierarchical clustering and a k-means type clustering.
A brief description of PCAmix method (that is a principal component analysis for mixed data) is provided, since the calculus
of the synthetic variables summarizing the obtained clusters of variables is based on this multivariate method. Finally, the
PCAmix and ClustOfVar approaches (implemented in the R packages ClustOfVar and PCAmixdata) are illustrated on a
real dataset from a BCI (brain computer interface) study. Recommendations, based not only on performance, efficiency,
but also on satisfaction criteria, could be made concerning the choice of interface in the use of virtual keyboards, especially
for people with motor disorder such as Charcot’s disease. 
DO  - 10.21494/ISTE.OP.2018.0311 
JF  - Cognitive Engineering 
KW  - clustering of variables,  mixed data,  principal component analysis for mixed data,  R packages,  brain computer interface,  multivariate data analysis,  data visualization, Classification de variables,  données mixtes,  analyse en composantes principales,  packages R,  brain computer interface,  analyse multivariée des données,  visualisation des données,  
L1  - https://www.openscience.fr/IMG/pdf/iste_ingecog18v2n1_4_ok.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2018/12/18 
SN  - 2517-6978 
TT  - Classification de variables et analyse multivariée de données mixtes issues d’une étude BCI 
UR  - https://www.openscience.fr/Clustering-of-variables-and-multivariate-analysis-of-mixed-data-from-BCI-study 
IS  - Issue 1 
VL  - 2 
ER  -