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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/60348 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/60348 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/60348 archive 351 disk0/00/00/52/95 2016-01-15 02:09:13 2021-08-27 17:16:10 2016-01-15 02:09:13 monograph show 2 Gochet W. Stam A. 1602 Srinivasan V. Chen S. pub iis_met iis_sys prog_mcd 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. 1997 published RR-97-016. Reprinted from Operations Research, 45(2) [March-April 1997]. RP-97-016 Reprinted from Operations Research; 45(2) [March-April 1997] 10 1588 public research_reprint Operations Research 45 2 IIASA, Laxenburg, Austria 14 TRUE FALSE info:eu-repo/semantics/book