Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue IEEE Computer Graphics and Applications Année : 2020

Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions

Résumé

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.
Fichier principal
Vignette du fichier
Fuchs_2020_TCA.pdf (1.96 Mo) Télécharger le fichier
Vignette du fichier
Thumbnail-Educlust (1).PNG (363.12 Ko) Télécharger le fichier
Thumbnail-Educlust.PNG (363.12 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Format Figure, Image
Loading...

Dates et versions

hal-03001745 , version 1 (12-11-2020)

Identifiants

Citer

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⟩
86 Consultations
361 Téléchargements

Altmetric

Partager

More