Marie Chavent
Marie Chavent
Professor of Statistics, Université de Bordeaux
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Citado por
ClustOfVar: An R package for the clustering of variables
M Chavent, V Kuentz, B Liquet, L Saracco
arXiv preprint arXiv:1112.0295, 2011
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
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
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
Multivariate analysis of mixed data: The R package PCAmixdata
M Chavent, V Kuentz-Simonet, A Labenne, J Saracco
arXiv preprint arXiv:1411.4911, 2014
A monothetic clustering method
M Chavent
Pattern Recognition Letters 19 (11), 989-996, 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
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
New clustering methods for interval data
M Chavent, FAT de Carvalho, Y Lechevallier, R Verde
Computational statistics 21, 211-229, 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
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
DIVCLUS-T: A monothetic divisive hierarchical clustering method
M Chavent, Y Lechevallier, O Briant
Computational Statistics & Data Analysis 52 (2), 687-701, 2007
Analyse de Données Symboliques. Une méthode divisive de classification
M Chavent, E Diday
Orthogonal rotation in PCAMIX
M Chavent, V Kuentz-Simonet, J Saracco
Advances in Data Analysis and Classification 6, 131-146, 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
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
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
PCAmixdata: Multivariate analysis of mixed data
M Chavent, V Kuentz, A Labenne, B Liquet, J Saracco
R package version 3, 2017
Criterion-based divisive clustering for symbolic data
M Chavent
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical …, 2000
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
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