Expected Maximization Algorithm for Classification

Sripriya Muppidi, Bhatracharyulu N.Ch.

Abstract: In this paper an attempt is made to propose Expected Maximization algorithm for estimating the object belongs to the label class. The comparison made is with respect to their methods, merits, and demerits. The methods were implemented for a credit card bank data set and evaluated its accuracy.

Keywords: Machine learning techniques, Credit Card, supervised learning

How to Cite?: Sripriya Muppidi, Bhatracharyulu N.Ch., "Expected Maximization Algorithm for Classification", Volume 12 Issue 3, March 2023, International Journal of Science and Research (IJSR), Pages: 1201-1203, https://www.ijsr.net/getabstract.php?paperid=SR23319221304, DOI: https://dx.doi.org/10.21275/SR23319221304