Multigroup Discriminant Analysis Using Linear Programming

Gochet W, Stam A, Srinivasan V, & Chen S (1997). Multigroup Discriminant Analysis Using Linear Programming. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-97-016. Reprinted from Operations Research, 45(2) [March-April 1997].

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Abstract

In this paper we introduce a non-parametric linear programming formulation for the general multigroup classification problem. Previous research using linear programming formulations has either been limited to the two-group case, or required complicated constraints and many zero-one variables. We develop general properties of our multigroup formulation and illustrate its use with several small example problems and previously published real data sets. A comparative analysis on the real data sets shows that our formulation may offer an interesting robust alternative to parametric statistical formulations for the multigroup discriminant problem.

Item Type: Monograph (IIASA Research Report (Reprint))
Research Programs: Management Coordination and Development (MCD)
Bibliographic Reference: Reprinted from Operations Research; 45(2) [March-April 1997]
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:09
Last Modified: 19 Jul 2016 07:12
URI: http://pure.iiasa.ac.at/5295

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