4 citations · 4 across the 2 of their papers we have counts for
3 papers
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…
Clusterpath Gaussian Graphical Modeling
D. J. W. Touw, A. Alfons, P. J. F. Groenen +1
Graphical models serve as effective tools for visualizing conditional dependencies between variables. However, as the number of variables grows, interpretation becomes increasingly…
Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering
Daniel J. W. Touw, Patrick J. F. Groenen, Yoshikazu Terada
Convex clustering is a modern method with both hierarchical and -means clustering characteristics. Although convex clustering can capture complex clustering structures hidden in…