A comparative study of major clustering techniques for MAR learning usability prioritization processes
This paper presents and discusses a comparative study of three major clustering categories namely Hierarchical-based, Iterative mode-based and Partition-based in analyzing and prioritizing Mobile Augmented reality (MAR) Learning (MAR-learning) usability data. This paper first discusses the related w...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/92148/ http://dx.doi.org/10.3233/FAIA200577 |
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