| FactoMineR: An R package for multivariate analysis S Lê, J Josse, F Husson Journal of statistical software 25 (1), 1-18, 2008 | 8222 | 2008 |
| Exploratory multivariate analysis by example using R F Husson, S Lê, J Pagès CRC press, 2017 | 1176 | 2017 |
| FactoMineR: Multivariate Exploratory Data Analysis and Data Mining with R. R package version 1.16 F Husson, J Josse, S Le, J Mazet | 1176* | 2011 |
| FactoMineR: Factor analysis and data mining with R F Husson, S Lê, J Mazet R package version 1, 2007 | 1049* | 2007 |
| missMDA: a package for handling missing values in multivariate data analysis J Josse, F Husson Journal of statistical software 70, 1-31, 2016 | 875 | 2016 |
| Principal component methods-hierarchical clustering-partitional clustering: why would we need to choose for visualizing data F Husson, J Josse, J Pages Applied Mathematics Department 17, 2010 | 579 | 2010 |
| Handling missing values in exploratory multivariate data analysis methods J Josse, F Husson Journal de la société française de statistique 153 (2), 79-99, 2012 | 300 | 2012 |
| Testing the significance of the RV coefficient J Josse, J Pagès, F Husson Computational Statistics & Data Analysis 53 (1), 82-91, 2008 | 273 | 2008 |
| Selecting the number of components in principal component analysis using cross-validation approximations J Josse, F Husson Computational Statistics & Data Analysis 56 (6), 1869-1879, 2012 | 246 | 2012 |
| Analyse de données avec R F Husson, S Lê, J Pagès Presses universitaires de Rennes, 2016 | 208 | 2016 |
| Sensominer: A package for sensory data analysis S Lê, F Husson Journal of sensory studies 23 (1), 14-25, 2008 | 179 | 2008 |
| A principal component method to impute missing values for mixed data V Audigier, F Husson, J Josse Advances in Data Analysis and Classification 10, 5-26, 2016 | 151 | 2016 |
| FactoMineR: an R package for multivariate analysis F Husson, J Josse, S Lê, J Mazet Journal of statistical software 25 (1), 1-18, 2008 | 149 | 2008 |
| Multiple imputation in principal component analysis J Josse, J Pagès, F Husson Advances in data analysis and classification 5, 231-246, 2011 | 147 | 2011 |
| Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approach M De Tayrac, S Lê, M Aubry, J Mosser, F Husson BMC genomics 10 (1), 1-17, 2009 | 141 | 2009 |
| Handling missing values with regularized iterative multiple correspondence analysis J Josse, M Chavent, B Liquet, F Husson Journal of classification 29, 91-116, 2012 | 134 | 2012 |
| Construction and evaluation of confidence ellipses applied at sensory data M Cadoret, F Husson Food Quality and Preference 28 (1), 106-115, 2013 | 123 | 2013 |
| Multiple correspondence analysis F Husson, J Josse Visualization and verbalization of data, 165-184, 2014 | 120 | 2014 |
| Statistique avec R PA Cornillon, A Guyader, F Husson, N Jégou, J Josse, M Kloareg, ... | 117* | 2008 |
| Which value can be granted to sensory profiles given by consumers? Methodology and results F Husson, S Le Dien, J Pagès Food quality and preference 12 (5-7), 291-296, 2001 | 109 | 2001 |
Julie JosseSenior Researcher Inria,Adresse e-mail validée de inria.fr
