research
∙
07/01/2021
Dealing with overdispersion in multivariate count data
The problem of overdispersion in multivariate count data is a challengin...
share
research
∙
10/13/2020
Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets
Clustering mixed data presents numerous challenges inherent to the very ...
research
∙
09/10/2020
Directional quantile classifiers
We introduce classifiers based on directional quantiles. We derive theor...
research
∙
02/18/2019
Classifying textual data: shallow, deep and ensemble methods
This paper focuses on a comparative evaluation of the most common and mo...
research
∙
02/18/2019
Going deep in clustering high-dimensional data: deep mixtures of unigrams for uncovering topics in textual data
Mixtures of Unigrams (Nigam et al., 2000) are one of the simplest and mo...
research
∙
06/27/2018
Quantile-based clustering
A new cluster analysis method, K-quantiles clustering, is introduced. K-...
research
∙
11/18/2017
