Date of Award

11-21-2008

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematics and Statistics

First Advisor

Dr. Marina Arav - Chair

Second Advisor

Dr. Rachel Belinsky

Third Advisor

Dr. Frank Hall

Fourth Advisor

Dr. Zhongshan Li

Fifth Advisor

Dr. Michael Stewart

Abstract

While much research has been done regarding different Nonnegative Matrix Factorization (NMF) algorithms, less time has been spent looking at initialization techniques. In this thesis, four different initializations are considered. After a brief discussion of NMF, the four initializations are described and each one is independently examined, followed by a comparison of the techniques. Next, each initialization's performance is investigated with respect to the changes in the size of the data set. Finally, a method by which smaller data sets may be used to determine how to treat larger data sets is examined.

Included in

Mathematics Commons

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