We discuss topological aspects of cluster analysis and show that inferri...
Outlier or anomaly detection is an important task in data analysis. We
d...
We consider functional outlier detection from a geometric perspective,
s...
In recent years, the need for neutral benchmark studies that focus on th...
In recent years, manifold methods have moved into focus as tools for
dim...
Multi-omics data, that is, datasets containing different types of
high-d...