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Minimizing deviations from the group mean: A new linear programming approach for the two-group classification problem

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  • Lam, Kim Fung
  • Choo, Eng Ung
  • Moy, Jane W.

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  • Lam, Kim Fung & Choo, Eng Ung & Moy, Jane W., 1996. "Minimizing deviations from the group mean: A new linear programming approach for the two-group classification problem," European Journal of Operational Research, Elsevier, vol. 88(2), pages 358-367, January.
  • Handle: RePEc:eee:ejores:v:88:y:1996:i:2:p:358-367
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    References listed on IDEAS

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    1. Lam, K. F. & Choo, E. U. & Wedley, W. C., 1993. "Linear goal programming in estimation of classification probability," European Journal of Operational Research, Elsevier, vol. 67(1), pages 101-110, May.
    2. Stam, Antonie & Joachimsthaler, Erich A., 1990. "A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem," European Journal of Operational Research, Elsevier, vol. 46(1), pages 113-122, May.
    3. Freed, Ned & Glover, Fred, 1981. "Simple but powerful goal programming models for discriminant problems," European Journal of Operational Research, Elsevier, vol. 7(1), pages 44-60, May.
    4. Stam, Antonie, 1990. "Extensions of mathematical programming-based classification rules: A multicriteria approach," European Journal of Operational Research, Elsevier, vol. 48(3), pages 351-361, October.
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    Cited by:

    1. Michael O. Olusola & Sydney I. Onyeagu, 2020. "On the binary classification problem in discriminant analysis using linear programming methods," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(1), pages 119-130.
    2. Orsenigo, Carlotta & Vercellis, Carlo, 2004. "Discrete support vector decision trees via tabu search," Computational Statistics & Data Analysis, Elsevier, vol. 47(2), pages 311-322, September.
    3. Ai-bing Ji & Ye Ji & Yanhua Qiao, 2018. "DEA-Based Piecewise Linear Discriminant Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 809-820, April.
    4. Lau, Kin-nam & Leung, Pui-lam & Tse, Ka-kit, 1999. "A mathematical programming approach to clusterwise regression model and its extensions," European Journal of Operational Research, Elsevier, vol. 116(3), pages 640-652, August.
    5. Pedro Duarte Silva, A., 2017. "Optimization approaches to Supervised Classification," European Journal of Operational Research, Elsevier, vol. 261(2), pages 772-788.
    6. Loucopoulos, Constantine, 2001. "Three-group classification with unequal misclassification costs: a mathematical programming approach," Omega, Elsevier, vol. 29(3), pages 291-297, June.
    7. Pavur, Robert, 2002. "A comparative study of the effect of the position of outliers on classical and nontraditional approaches to the two-group classification problem," European Journal of Operational Research, Elsevier, vol. 136(3), pages 603-615, February.
    8. K F Lam, 2010. "In the determination of weight sets to compute cross-efficiency ratios in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 134-143, January.
    9. Lam, Kim Fung & Moy, Jane W., 2002. "Combining discriminant methods in solving classification problems in two-group discriminant analysis," European Journal of Operational Research, Elsevier, vol. 138(2), pages 294-301, April.
    10. Zopounidis, Constantin & Doumpos, Michael, 2002. "Multicriteria classification and sorting methods: A literature review," European Journal of Operational Research, Elsevier, vol. 138(2), pages 229-246, April.
    11. Lam, Kim Fung & Moy, Jane W., 2003. "A piecewise linear programming approach to the two-group discriminant problem - an adaptation to Fisher's linear discriminant function model," European Journal of Operational Research, Elsevier, vol. 145(2), pages 471-481, March.

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