Date of Award
Winter 2015
Degree Type
Essay
Degree Name
Master of Science (MS)
Department
Mathematics
First Advisor
Dr. Thomas Short
Abstract
With the growing prevalence of big data, it is interesting to see whether the popular machine-learning tool known as the Expectation Maximization (EM) algorithm (Dempster, Laird, & Rubin, 1977) is applicable and beneficial for data analysis. Can the EM algorithm be used directly on big data without requiring additional changes or adjustments? Yes, the EM algorithm can be applied to a big data set modified or unmodified, and the goal of this paper is to show the technique used to do so.
Recommended Citation
Beffel, Jason, "THE APPLICATION OF THE EXPECTATION MAXIMIZATION ALGORITHM ONTO BIG DATA" (2015). Masters Essays. 32.
https://collected.jcu.edu/mastersessays/32
Creative Commons License
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