Dimension reduction vs. variable selection

Authors:
Wolfgang M. Hartmann
Affiliations:
SAS Institute, Inc, Cary, NC
Venue:
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Year:
2004

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Abstract

The paper clarifies the difference between dimension reduction and variable selection methods in statistics and data mining. Traditional and recent modeling methods are listed and a typical approach to variable selection is mentioned. In addition, the need for and types of cross validation in modeling is sketched.