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Characterization of Unacceptable Solutions in LP Discriminant Analysis *
Author(s) -
Koehler Gary J.
Publication year - 1989
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1989.tb01875.x
Subject(s) - linear discriminant analysis , characterization (materials science) , discriminant , optimal discriminant analysis , computer science , linear programming , mathematical optimization , mathematics , artificial intelligence , materials science , nanotechnology
Many linear programming models have been proposed for performing discriminant analysis. Partial characterizations for unacceptable solutions have been presented and new models proposed to circumvent these problems. In this paper those conditions leading to unacceptable solutions for all two‐group models are characterized.