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                       BIOINFORMATICS COLLOQUIUM
                    School of Computational Sciences
                        George Mason University
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           Latent Class Discovery During Discriminant Analysis

                             Jeff Solka
                                GMU

                      Tuesday, February 24, 2004
                               4:30 pm
               Verizon Auditorium, Prince William Campus

This talk will explore some of our recent work in the area of latent
class discovery during discriminant analysis. Previous work in
discriminant analysis has not exploited the potential for the discovery
of latent classes that may reside hidden within each of the original
homogeneous classes. This work has developed several new approaches to
the discovery of latent classes based on the relationship of the
observations to the discriminant boundary. A method based on the use of
a reduced nearest neighbor classifier will be described. This technique
will be illustrated using the Golub leukemia gene expression
dataset. Time permitting other latent class elucidation methodologies
will be discussed.

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Refreshments are served at 4:00 pm.  Find the schedule and directions at
http://www.binf.gmu.edu/colloq.html