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    EduClust - A Visualization Application for Teaching Clustering Algorithms

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    Date
    2019
    Author
    Fuchs, Johannes ORCID
    Isenberg, Petra ORCID
    Bezerianos, Anastasia
    Miller, Matthias
    Keim, Daniel ORCID
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    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.
    BibTeX
    @inproceedings {10.2312:eged.20191023,
    booktitle = {Eurographics 2019 - Education Papers},
    editor = {Tarini, Marco and Galin, Eric},
    title = {{EduClust - A Visualization Application for Teaching Clustering Algorithms}},
    author = {Fuchs, Johannes and Isenberg, Petra and Bezerianos, Anastasia and Miller, Matthias and Keim, Daniel},
    year = {2019},
    publisher = {The Eurographics Association},
    ISSN = {1017-4656},
    DOI = {10.2312/eged.20191023}
    }
    URI
    https://doi.org/10.2312/eged.20191023
    https://diglib.eg.org:443/handle/10.2312/eged20191023
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    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA