Data Analytics Consultant
Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions
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.
@article{fuchs:2020:teachingclustering,
author = {Johannes Fuchs and
Petra Isenberg and
Anastasia Bezerianos and
Matthias Miller and
Daniel A. Keim and
Beatriz Sousa Santos and
Ginger Alford},
title = {{Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions}},
journal = {{IEEE} Computer Graphics and Applications},
volume = {40},
number = {2},
pages = {98--102},
year = {2020},
doi = {10.1109/MCG.2020.2970560}
}