California State University San Bernardino
Department of Computer Science
Independent Study Presentation

Date Monday, December 5, 2008 Time 10:00  10:30 Place JBH 391

Title Clustering Data for Fun and Profit


Presenter Steve Johnson

Advisors Dr. Haiyan Qiao, Dr. Richard Botting

Abstract
After a brief introduction to Data Clustering Concepts, we will discuss 
some of the challenges that common Clustering Algorithms face, particularly
in the areas of attribute relevance, and multiple cluster identification.
We will introduce a novel Clustering Algorithm designed to address these 
challenges.

Finally, our discussion will end with some thoughts of a theoretical nature
about what it means for data to be clustered.

No previous knowledge of Data Clustering is required or expected.