Linear programming approaches to the classification problem in discriminant analysis

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Linear programming approaches to the classification problem in discriminant analysis

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Title: Linear programming approaches to the classification problem in discriminant analysis
Author: Wiroj Liewkongsthaporn
Abstract: The classification problem in discriminant analysis involves the construction a rule for the assignment of an observation into one of several groups. Various discriminant analysis techniques have been proposed in the fields of statistics, management science and artificial intelligence. This paper introduces two most widely used linear programming (LP) formulations to the classification problem. The results of experimental comparisons of LP and the statistical approaches are reported.
Description: วารสารมหาวิทยาลัยทักษิณ. 5 (1-2) : 46-52 (มกราคม - ธันวาคม 2545)Thaksin Journal. 5 (1-2) : 46-52 (January - December 2002)
URI: http://vlib.stkc.go.th/handle/023333700/1382
xmlui.dri2xhtml.METS-1.0.item-mimetype: application/pdf
xmlui.dri2xhtml.METS-1.0.item-extent: 7 p.
Subject: Linear systems; Problems in mathematical analysis; Discriminant analysis
Date: 2011-02-04

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