3 papers
stat.ME2026
Visualizing Class Specific Heterogeneous Tendencies using R
Mariko Takagishi, Michel van de Velden
In this paper we introduce the R package mccca, which implements multiple-class cluster correspondence analysis (MCCCA) proposed in M.Takagishi et al., (2022). MCCCA is a statistic…
stat.ML2024
Classifier Chain Networks for Multi-Label Classification
Daniel J. W. Touw, Michel van de Velden
The classifier chain is a widely used method for analyzing multi-labeled data sets. In this study, we introduce a generalization of the classifier chain: the classifier chain netwo…
stat.ME2024
Unbiased mixed variables distance
Michel van de Velden, Alfonso Iodice D'Enza, Angelos Markos +1
Defining a distance in a mixed setting requires the quantification of observed differences of variables of different types and of variables that are measured on different scales. T…