Publikation:

Teaching Clustering Algorithms With EduClust : Experience Report and Future Directions

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Datum

2020

Autor:innen

Isenberg, Petra
Bezerianos, Anastasia
Santos, Beatriz Sousa
Alford, Ginger

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-rmm0d6qjweky9
DOI (zitierfähiger Link)
https://doi.org/10.1109/MCG.2020.2970560
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IEEE Computer Graphics and Applications (M-CG&A). Institute of Electrical and Electronics Engineers (IEEE). 2020, 40(2), pp. 98-102. ISSN 0272-1716. eISSN 1558-1756. Available under: doi: 10.1109/MCG.2020.2970560

Zusammenfassung

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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ISO 690FUCHS, Johannes, Petra ISENBERG, Anastasia BEZERIANOS, Matthias MILLER, Daniel A. KEIM, Beatriz Sousa SANTOS, Ginger ALFORD, 2020. Teaching Clustering Algorithms With EduClust : Experience Report and Future Directions. In: IEEE Computer Graphics and Applications (M-CG&A). Institute of Electrical and Electronics Engineers (IEEE). 2020, 40(2), pp. 98-102. ISSN 0272-1716. eISSN 1558-1756. Available under: doi: 10.1109/MCG.2020.2970560
BibTex
@article{Fuchs2020Teach-49037,
  year={2020},
  doi={10.1109/MCG.2020.2970560},
  title={Teaching Clustering Algorithms With EduClust : Experience Report and Future Directions},
  number={2},
  volume={40},
  issn={0272-1716},
  journal={IEEE Computer Graphics and Applications (M-CG&A)},
  pages={98--102},
  author={Fuchs, Johannes and Isenberg, Petra and Bezerianos, Anastasia and Miller, Matthias and Keim, Daniel A. and Santos, Beatriz Sousa and Alford, Ginger}
}
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