Journal of the Korean Data and Information Science Society
- 제5권1호
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- Pages.1-10
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- 1994
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- 1598-9402(pISSN)
On Linear Discriminant Procedures Based On Projection Pursuit Method
- Hwang, Chang-Ha (Dept. of Computer Science and Statistics, Kyungsung University) ;
- Kim, Dae-Hak (Dept. of Statistics, Hyosung Women's University)
- 발행 : 1994.06.30
초록
Projection pursuit(PP) is a computer-intensive method which seeks out interesting linear projections of multivariate data onto a lower dimension space by machine. By working with lower dimensional projections, projection pursuit avoids the sparseness of high dimensional data. We show through simulation that two projection pursuit discriminant mothods proposed by Chen(1989) and Huber(1985) do not improve very much the error rate than the existing methods and compare several classification procedures.
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