| Rmixmod: The R package of the model-based unsupervised, supervised, and semi-supervised classification Mixmod library R Lebret, S Iovleff, F Langrognet, C Biernacki, G Celeux, G Govaert Journal of Statistical Software 67, 1-29, 2015 | 110 | 2015 |
| blockcluster: An R package for model-based co-clustering PS Bhatia, S Iovleff, G Govaert Journal of Statistical Software 76, 1-24, 2017 | 70 | 2017 |
| Estimating a nonstationary spatial structure using simulated annealing S Iovleff, O Perrin Journal of Computational and Graphical Statistics 13 (1), 90-105, 2004 | 38 | 2004 |
| Linear diffusion with stationary switching regime X Guyon, S Iovleff, JF Yao ESAIM: Probability and Statistics 8, 25-35, 2004 | 36 | 2004 |
| Auto-associative models and generalized principal component analysis S Girard, S Iovleff Journal of Multivariate Analysis 93 (1), 21-39, 2005 | 26 | 2005 |
| Rmixmod: classification with mixture modelling F Langrognet, R Lebret, C Poli, S Iovleff, B Auder, S Iovleff R package version 2 (2.2), 2019 | 20 | 2019 |
| Auto-associative models, nonlinear Principal component analysis, manifolds and projection pursuit S Girard, S Iovleff Principal Manifolds for Data Visualization and Dimension Reduction, 202-218, 2008 | 19 | 2008 |
| MixAll: Clustering and classification using model-based mixture models S Iovleff, P Bathia R package version 1 (2), 2018 | 11 | 2018 |
| Rmixmod: An interface for MIXMOD B Auder, R Lebret, S Iovleff, F Langrognet R package version 2 (2), 2014 | 10 | 2014 |
| Rmixmod: supervised, unsupervised, semi-supervised classification with MIXture MODelling (Interface of MIXMOD Software), 2016 F Langrognet, R Lebret, C Poli, S Iovleff R package version 2 (1), 0 | 9 | |
| blockcluster: Coclustering Package for Binary, Categorical, Contingency and Continuous Data-Sets S Iovleff, P Singh Bhatia, J Demont, V Brault, V Kubicki, G Govaert, ... R package version 4 (2), 2015 | 5 | 2015 |
| Three stochastic versions of the EM algorithm for estimating longitudinal Rasch model A Hamon, S Iovleff Communications in Statistics-Simulation and computation 32 (2), 275-295, 2003 | 5 | 2003 |
| The use of the least-squares minimal residual algorithm for fast and regularized attenuation compensation in SPECT V La, P Grangeat, S Iovleff, A Mallon, P Sire 1996 IEEE Nuclear Science Symposium. Conference Record 3, 1658-1662, 1996 | 5 | 1996 |
| Probabilistic auto-associative models and semi-linear PCA S Iovleff Advances in Data Analysis and Classification 9, 267-286, 2015 | 4 | 2015 |
| MixAll: Clustering Mixed data with Missing Values S Iovleff | 3 | 2012 |
| Evaluation of two conjugate gradient based algorithms for quantitation in cardiac SPECT imaging P Sire, P Grangeat, S Iovleff, V La, A Mallon 1996 IEEE Nuclear Science Symposium. Conference Record 3, 1633-1637, 1996 | 2 | 1996 |
| Estimation a non-stationary spatial structure using simulated annealing O Perrin, S Iovleff Geo Computation 99, 0 | 2 | |
| An R Package and C++ library for Latent block models: Theory, usage and applications P Bathia, S Iovleff, G Govaert Journal of Statistical Software, 2017 | 1 | 2017 |
| MixAll: Clustering Heterogenous data with Missing Values S Iovleff | 1 | 2015 |
| Estimating non-stationary spatial structure using simulated annealing G Iovleff, O Perrin Technical Report, 1999 | 1 | 1999 |
Rémi LebretResearch Scientist, EPFLVerified email at epfl.ch
