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07/01/2021
Dealing with overdispersion in multivariate count data
The problem of overdispersion in multivariate count data is a challengin...
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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 ...
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09/10/2020
Directional quantile classifiers
We introduce classifiers based on directional quantiles. We derive theor...
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02/18/2019
Classifying textual data: shallow, deep and ensemble methods
This paper focuses on a comparative evaluation of the most common and mo...
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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...
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06/27/2018
Quantile-based clustering
A new cluster analysis method, K-quantiles clustering, is introduced. K-...
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11/18/2017