Abstract #300472

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JSM 2002 Abstract #300472
Activity Number: 19
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #300472
Title: Dimension Reduction in Kernel Discriminant Analysis
Author(s): Santiago Velilla*+ and Adolfo Hernandez
Affiliation(s): Universidad Carlos III de Madrid and Universidad Autonoma de Madrid
Address: C/ Madrid, 126, Getafe, , 28903, Spain
Keywords: curse of dimensionality ; kernel discriminant rule ; projection pursuit ; separation of populations
Abstract:

Exploiting the concept of dimension reduction subspace, a dimension reduction method in kernel discriminant analysis (KDA) is presented. A real data example is also discussed.

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