385 citations · 811 across the 21 of their papers we have counts for
10 papers · 1 filter
Co-clustering of time-dependent data via Shape Invariant Model
Alessandro Casa, Charles Bouveyron, Elena Erosheva +1
Multivariate time-dependent data, where multiple features are observed over time for a set of individuals, are increasingly widespread in many application domains. To model these d…
Unobserved classes and extra variables in high-dimensional discriminant analysis
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron +1
In supervised classification problems, the test set may contain data points belonging to classes not observed in the learning phase. Moreover, the same units in the test data may b…
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
High-dimensional data clustering has become and remains a challenging task for modern statistics and machine learning, with a wide range of applications. We consider in this work t…
Greedy clustering of count data through a mixture of multinomial PCA
Nicolas Jouvin, Pierre Latouche, Charles Bouveyron +2
Count data is becoming more and more ubiquitous in a wide range of applications, with datasets growing both in size and in dimension. In this context, an increasing amount of work…
Exact Dimensionality Selection for Bayesian PCA
Charles Bouveyron, Pierre Latouche, Pierre-Alexandre Mattei
We present a Bayesian model selection approach to estimate the intrinsic dimensionality of a high-dimensional dataset. To this end, we introduce a novel formulation of the probabil…
The Stochastic Topic Block Model for the Clustering of Vertices in Networks with Textual Edges
Bouveyron Charles, Latouche Pierre, Zreik Rawya
Due to the significant increase of communications between individuals via social media (Facebook, Twitter, Linkedin) or electronic formats (email, web, e-publication) in the past t…