| ClustOfVar: An R package for the clustering of variables M Chavent, V Kuentz-Simonet, B Liquet, J Saracco Journal of Statistical Software 50, 1-16, 2012 | 407 | 2012 |
| Disclosure and determinants studies: An extension using the divisive clustering method (DIV) M Chavent, Y Ding, L Fu, H Stolowy, H Wang European Accounting Review 15 (2), 181-218, 2006 | 307 | 2006 |
| Adaptive Hausdorff distances and dynamic clustering of symbolic interval data FAT De Carvalho, RMCR De Souza, M Chavent, Y Lechevallier Pattern Recognition Letters 27 (3), 167-179, 2006 | 253 | 2006 |
| ClustGeo: an R package for hierarchical clustering with spatial constraints M Chavent, V Kuentz-Simonet, A Labenne, J Saracco Computational statistics 33 (4), 1799-1822, 2018 | 206 | 2018 |
| Multivariate analysis of mixed data: The R package PCAmixdata M Chavent, V Kuentz-Simonet, A Labenne, J Saracco arXiv preprint arXiv:1411.4911, 2014 | 189 | 2014 |
| A monothetic clustering method M Chavent Pattern Recognition Letters 19 (11), 989-996, 1998 | 168 | 1998 |
| Handling missing values with regularized iterative multiple correspondence analysis J Josse, M Chavent, B Liquet, F Husson Journal of classification 29 (1), 91-116, 2012 | 162 | 2012 |
| Dynamical clustering of interval data: optimization of an adequacy criterion based on Hausdorff distance M Chavent, Y Lechevallier Classification, Clustering, and Data Analysis: Recent Advances and …, 2002 | 159 | 2002 |
| New clustering methods for interval data M Chavent, FAT de Carvalho, Y Lechevallier, R Verde Computational statistics 21 (2), 211-229, 2006 | 118 | 2006 |
| Taxonomy of gymnospermae: multivariate analyses of leaf fatty acid composition S Mongrand, A Badoc, B Patouille, C Lacomblez, M Chavent, ... Phytochemistry 58 (1), 101-115, 2001 | 116 | 2001 |
| DIVCLUS-T: A monothetic divisive hierarchical clustering method M Chavent, Y Lechevallier, O Briant Computational Statistics & Data Analysis 52 (2), 687-701, 2007 | 114 | 2007 |
| Chemotaxonomy of the Rubiaceae family based on leaf fatty acid composition S Mongrand, A Badoc, B Patouille, C Lacomblez, M Chavent, JJ Bessoule Phytochemistry 66 (5), 549-559, 2005 | 110 | 2005 |
| Orthogonal rotation in PCAMIX M Chavent, V Kuentz-Simonet, J Saracco Advances in Data Analysis and Classification 6 (2), 131-146, 2012 | 81 | 2012 |
| EEG classification for the detection of mental states L Vézard, P Legrand, M Chavent, F Faïta-Aïnseba, L Trujillo Applied Soft Computing 32, 113-131, 2015 | 76 | 2015 |
| Analyse de Données Symboliques. Une méthode divisive de classification M Chavent, E Diday | 75* | 1997 |
| Combining clustering of variables and feature selection using random forests M Chavent, R Genuer, J Saracco Communications in Statistics-Simulation and Computation 50 (2), 426-445, 2021 | 61 | 2021 |
| PCA‐and PMF‐based methodology for air pollution sources identification and apportionment M Chavent, H Guegan, V Kuentz, B Patouille, J Saracco Environmetrics: The official journal of the International Environmetrics …, 2009 | 55 | 2009 |
| PCAmixdata: Multivariate analysis of mixed data M Chavent, V Kuentz, A Labenne, B Liquet, J Saracco R package version 3, 2017 | 54 | 2017 |
| Criterion-based divisive clustering for symbolic data M Chavent Analysis of symbolic data: Exploratory methods for extracting statistical …, 2000 | 53 | 2000 |
| Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle M Chavent, F De Carvalho, Y Lechevallier, R Verde Revue de statistique appliquée 51 (4), 5-29, 2003 | 52 | 2003 |
Jerome SaraccoENSC, INP- Bordeaux, FranceVerified email at math.u-bordeaux1.fr
