American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



EQUALIZING OR HIGHLIGHTING VARIABLES FOR CLUSTER ANALYSIS

by

Jon Kettenring
Drew University


Abstract

Applications of cluster analysis have been proliferating, especially in the life sciences. In this talk, I will begin with an overview of clustering methods and then briefly characterize and illustrate current practice. A critical challenge in cluster analysis is to figure out how best to scale or weight the variables involved. One can distinguish between methods that aim to equalize the impact of each variable and those that attempt to highlight variables that are most promising for finding clusters in data. In each of these two situations, there are both univariate and multivariate approaches to the problem. I will describe several of them and show results from experiments designed to assess their effectiveness.

This is joint work with R. Gnanadesikan and S. Maloor.


Date: Thursday, March 29, 2007
Time: 4:00 to 5:00 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Judith Jansen Conference Room (Room 425)
New York, New York

RESERVATIONS ARE NOT REQUIRED

Refreshments will be served at 3:30 P.M. in the
Biostatistics Conference Room (Room 627).


Home Page | Chapter News | Chapter Officers | Chapter Events
Other Metro Area Events | ASA National Home Page | Links To Other Websites

Copyright © 2007 by New York City Metropolitan Area Chapter of the ASA
Designed and maintained by Cynthia Scherer
Send questions or comments to nycasa@mindspring.com