Comparing the Accuracy of Hierarchical Agglomerative and K-means Clustering on Mobile Augmented Reality Usability Metrics

Lim Kok Cheng, Ali Selamat, Mohd Hazli Mohamed Zabil, Md Hafiz Selamat, Rose Alinda Alias, Fatimah Puteh, Farhan Mohamed, Ondrej Krejcar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This article presents the experimental work of comparing the performances of two machine learning approaches, namely Hierarchical Agglomerative Clustering and K-means Clustering on Mobile Augmented Reality Usability datasets. The datasets comprises of 2 separate categories of data, namely performance and self-reported, which are completely different in nature, techniques and affiliated biases. This research will first present the background and related literature before presenting initial findings of identified problems and objectives. This paper will the present in detail the proposed methodology before presenting the evidences and discussion of comparing this two widely used machine learning approach on usability data.

Original languageEnglish
Title of host publication2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-40
Number of pages7
ISBN (Electronic)9781728133089
DOIs
Publication statusPublished - 01 Nov 2019
Event2019 IEEE Conference on Big Data and Analytics, ICBDA 2019 - Penang, Malaysia
Duration: 19 Nov 201921 Nov 2019

Publication series

Name2019 IEEE Conference on Big Data and Analytics, ICBDA 2019

Conference

Conference2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
CountryMalaysia
CityPenang
Period19/11/1921/11/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Decision Sciences (miscellaneous)

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  • Cite this

    Cheng, L. K., Selamat, A., Zabil, M. H. M., Selamat, M. H., Alias, R. A., Puteh, F., Mohamed, F., & Krejcar, O. (2019). Comparing the Accuracy of Hierarchical Agglomerative and K-means Clustering on Mobile Augmented Reality Usability Metrics. In 2019 IEEE Conference on Big Data and Analytics, ICBDA 2019 (pp. 34-40). [8987044] (2019 IEEE Conference on Big Data and Analytics, ICBDA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBDA47563.2019.8987044