Faculty Advisor

Wu, Zheyang

Abstract

The objective of this project was to investigate and compare several existing methods for clustering and classifying data as well as some of my own design. Under the employment of BAE Systems, Inc., I tested algorithms designed to identify clusters and determine parameter estimates from continuous data that were known to be in the form of Gaussian mixtures. I also looked into methods for classifying discrete data that were known to originate from multiple unique sources, in hopes of being able to categorize these data automatically based on previous knowledge. Through my findings, I was able to determine which algorithm performed the best. I also found multiple viable methods for automatically categorizing the discrete data that BAE Systems was interested in.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2013

Major

Actuarial Mathematics

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Mathematical Sciences

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