Feasibility comparison of HAC algorithm on usability performance and self-reported metric features for MAR learning

LK Cheng, A Selamat, MHM Zabil… - New Trends in …, 2018 - ebooks.iospress.nl
This paper highlights the current literatures in usability studies, performance metrics, self-
reported metrics and hierarchical agglomerative clustering algorithms. A literature review is …

Comparing the accuracy of hierarchical agglomerative and k-means clustering on mobile augmented reality usability metrics

LK Cheng, A Selamat, MHM Zabil… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
This article presents the experimental work of comparing the performances of two machine
learning approaches, namely Hierarchical Agglomerative Clustering and K-means …

Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning

KC Lim, A Selamat, MH Mohamed Zabil… - Advancing …, 2019 - ebooks.iospress.nl
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 …

Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data

KC Lim, A Selamat, MH Mohamed Zabil… - Advancing …, 2019 - ebooks.iospress.nl
This paper presents fractions of research outcome from a bigger project involving machine
learning, Hierarchical Agglomerative Clustering (HAC) Algorithms on usability data gathered …

A Comparative Study of Major Clustering Techniques for MAR Learning Usability Prioritization Processes

KC Lim, A Selamat, MH Mohamed Zabil… - Knowledge …, 2020 - ebooks.iospress.nl
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 …