Date of Award

1-1-2010

Document Type

Campus Access Thesis

Department

Epidemiology and Biostatistics

Sub-Department

Biostatistics

First Advisor

Hongmei Zhang

Abstract

This thesis focuses on clustering fifteen Zernike coefficients using the method of clustering of linear regression models (CLM). EM algorithm is used to infer the maximum likelihood estimate of parameters for each cluster. Bayesian information criterion (BIC) combined with Bootstrapped maximum volume (BMV) criterion are used to determine the number of clusters. The Bootstrap method is used to estimate the uncertainty on the number of clusters. These fifteen Zernike coefficients are clustered into four clusters with a 90% confidence interval of the number of clusters being (2, 5).

Rights

© 2010, Weichao Bao

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