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...

Full description

Saved in:
Bibliographic Details
Main Authors: Lim, Kok Cheng, Selamat, Ali, Mohamed Zabil, Mohd. Hazli, Selamat, Md. Hafiz, Alias, Rose Alinda, Mohamed, Farhan, Krejcar, Ondrej
Format: Conference or Workshop Item
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/92148/
http://dx.doi.org/10.3233/FAIA200577
Tags: Add Tag
No Tags, Be the first to tag this record!