- Student Participants
- Katelyn Gao (MIT)
- Heather Hardeman (University of Montevallo)
- Edward Lim (Johns Hopkins University)
- Cristian Potter (East Carolina University)
- Carl D. Meyer (Primary Faculty Advisor, NC State)
- Ralph Abbey (Graduate Student Advisor, NC State)
- Project Description
Given unorganized data that may be derived from text, images,
or simply raw numerics, the objective is to develop new and innovative
techniques for detecting, revealing, and analyzing hidden patterns and
clusters of information that exhibit some sort of similarity
or commonality. The size and diverse nature of the data sets of interest
make this a formidable but extremely important problem in areas that include national security, military
intelligence, bioinformatics, knowledge discovery, corporate sales strategy, and industrial and government forecasting, decision making,
The first part of
the project will be to learn and understand how to use some of the
state-of-the art techniques by analyzing some selected practical
The second part of the research will involve
exploring the possibilities of
developing some new methodologies and algorithms.
The mathematics employed involves linear algebra, probability and
statistics, networks and graphs, numerical analysis, and
scientific computing principles.
Poster presentation, Ninth Annual North Carolina State University Undergraduate Summer Research
Symposium, McKimmon Center, NC State University, August 3, 2011.
Download The Poster (pdf).
Photos From The Poster
Final Report (download pdf)