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EduClust -A Visualization Application for Teaching Clustering Algorithms

Johannes Fuchs 1 Petra Isenberg 2 Anastasia Bezerianos 3, 4, 5 Matthias Miller 1 Daniel Keim 1 
2 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
3 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : We present EduClust, a visualization application for teaching clustering algorithms. EduClust is an online application that combines visualizations, interactions, and animations to facilitate the understanding and teaching of clustering steps, parameters, and procedures. Traditional classroom settings aim for cognitive processes like remembering and understanding. We designed EduClust for expanded educational objectives like applying and evaluating. Educators can use the tool in class to show the effect of different clustering parameters on various datasets while animating through each algorithm's steps, but also use the tool to prepare traditional teaching material quickly by exporting animations and images. Students, on the other hand, benefit from the ability to compare and contrast the influence of clustering parameters on different datasets, while seeing technical details such as pseudocode and step-by-step explanations.
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Submitted on : Friday, April 19, 2019 - 10:10:44 AM
Last modification on : Saturday, June 25, 2022 - 10:36:46 PM


  • HAL Id : hal-02103293, version 1


Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel Keim. EduClust -A Visualization Application for Teaching Clustering Algorithms. Eurographics 2019 - 40th Annual Conference of the European Association for Computer Graphics, May 2019, Genova, Italy. pp.1-8. ⟨hal-02103293⟩



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