Wednesday, September 2, 2009
04:30 PM in REC 315
Professor Lingsong Zhang
Department of Statistics, Purdue University

Some Considerations of High Dimensional Classification Problems

Abstract

Classification is one of classical problems in statistics and machine learning. High dimensional data sets are very popular in many fields. Classical classification methods encounter a lot of challenges for high dimensional data sets. In this talk, we will talk some considerations of applying classification methods at this context. In particular, we will discuss support vector machine and distance weighted discrimination method for illustration. Some improved variations of these methods will also be discussed as potential solutions for some of the considerations.