Ellipsoidal mixture models for clustering: an application to web-based education data

Authors

  • Saujanna Jafreen Department of Natural Sciences, Daffodil International University, Dhaka-1207
  • Taslim S Mallick Department of Statistics, Biostatistics and Informatics, University of Dhaka, Dhaka-1000
  • Jafar A Khan Department of Statistics, Biostatistics and Informatics, University of Dhaka, Dhaka-1000

DOI:

https://doi.org/10.3329/bjsr.v28i1.26238

Keywords:

Model-based clustering, Gaussian mixture models, EM algorithm

Abstract

This study considers the Gaussian mixture models for clustering. Since spherical and diagonal models occur very rarely in practice and analysis can be simplified when these models are implemented, we focus on the ellipsoidal models. EM algorithm is used to fit these models to a real data set related to an adaptive educational electronic course. Misclassification rates and Bayesian Information Criteria (BIC) values are used for comparison.

Bangladesh J. Sci. Res. 28(1): 1-7, June-2015

Downloads

Download data is not yet available.
Abstract
128
PDF
117

Author Biography

Saujanna Jafreen, Department of Natural Sciences, Daffodil International University, Dhaka-1207



Downloads

Published

2016-01-04

How to Cite

Jafreen, S., Mallick, T. S., & Khan, J. A. (2016). Ellipsoidal mixture models for clustering: an application to web-based education data. Bangladesh Journal of Scientific Research, 28(1), 1–7. https://doi.org/10.3329/bjsr.v28i1.26238

Issue

Vol. 28 No. 1 (2015)

Section

Articles