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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
2 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique
3 ILDA - Interacting with Large Data
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique
Abstract : 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.
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https://hal.inria.fr/hal-03001745
Contributor : Petra Isenberg <>
Submitted on : Thursday, November 12, 2020 - 4:08:10 PM
Last modification on : Saturday, November 14, 2020 - 3:33:35 AM

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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, Institute of Electrical and Electronics Engineers, 2020, 40 (2), pp.98--102. ⟨10.1109/MCG.2020.2970560⟩. ⟨hal-03001745⟩

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