Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions

Johannes Fuchs (1) , Petra Isenberg (2) , Anastasia Bezerianos (3) , Matthias Miller (1) , Daniel Keim (1)

1 Department of Computer and Information Science, University of Konstanz
2 AVIZ - Analysis and Visualization
3 ILDA - Interacting with Large Data

We share our experiences teaching university students about clustering algorithms using EduClust, an online visualization we developed. EduClust supports professors in preparing teaching material and students in visually and interactively exploring cluster steps and the effects of changing clustering parameters. We used EduClust for two years in our computer science lectures on clustering algorithms and share our experience integrating the online application in a data science curriculum. We also point to opportunities for future development.

Mots clés: Visualization; clustering; algorithm; education

Domaines: Interface homme-machine [cs.HC]

Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel Keim. Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions. IEEE Computer Graphics and Applications, 2020, 40 (2), pp.98--102. ⟨10.1109/MCG.2020.2970560⟩. ⟨hal-03001745⟩