Quantifying usability prioritization using k-means clustering algorithm on hybrid metric features for MAR learning
This paper presents and discusses an empirical work of using machine learning K-means clustering algorithm in analyzing and processing Mobile Augmented Reality (MAR) learning usability data. This paper first discusses the issues within usability and machine learning spectrum, then explain in detail...
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| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/90692/ http://dx.doi.org/10.3233/FAIA190049 |
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