Model-Based Cluster Analysis of Indiana Social Security Beneficiary Data

Gwendolyn Spencer Butler University
Faculty Sponsor(s): Rasitha Jayasekare Butler University
Annual reports of the U.S. Old-Age, Survivors, and Disability Insurance program, published by the Social Security Administration, present the opportunity for contemporary analysis of aggregate information for the types of beneficiaries and monthly benefits received for each U.S. Postal ZIP code. To better capture the significance of the most-recent report for 2018, this project will use model-based cluster analysis, the unsupervised machine-learning process of grouping similar data points, comparing 2017 and 2018 data. Due to the large amount of data, the project will look solely at the information for the state of Indiana. The form of model-based clustering used in this research assumes that the probability to which each data point belongs to a cluster is determined through a Gaussian mixture model. Mathematical methods will be used to build the model. This model should uncover underlying patterns in Social Security benefits paid in Indiana over the past two years, as categorized by ZIP code.
Mathematics & Computer Science
Poster Presentation

When & Where

Irwin Library 2nd Floor