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Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions
IEEE Computer Graphics and Applications ( IF 1.7 ) Pub Date : 2020-03-01 , DOI: 10.1109/mcg.2020.2970560
Johannes Fuchs 1 , Petra Isenberg 2 , Anastasia Bezerianos 2 , Matthias Miller 1 , Daniel A. Keim 1
Affiliation  

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.

中文翻译:

使用 EduClust 教授聚类算法:经验报告和未来方向

我们分享了使用我们开发的在线可视化 EduClust 教授大学生聚类算法的经验。EduClust 支持教授准备教材和学生以视觉和交互方式探索聚类步骤和改变聚类参数的影响。我们在关于聚类算法的计算机科学讲座中使用了 EduClust 两年,并分享了我们将在线应用程序集成到数据科学课程中的经验。我们还指出了未来发展的机会。
更新日期:2020-03-01
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