id: 01093170
dt: j
an: 01093170
au: Gallagher, Richard J.; Lee, Eva K.; Patterson, David A.
ti: Constrained discriminant analysis via $0/1$ mixed integer programming.
so: Ann. Oper. Res. 74, 65-88 (1997).
py: 1997
pu: Springer, Dordrecht
la: EN
cc: 
ut: nonlinear 0/1 mixed integer programming; constrained discriminant analysis
ci: 
li: doi:10.1023/A:1018943025993
ab: Summary: A nonlinear 0/1 mixed integer programming model is presented for a
    constrained discriminant analysis problem. The model places
    restrictions on the numbers of misclassifications allowed among the
    training entities, and incorporates a “reserved judgment” region to
    which entities whose classifications are difficult to determine may be
    allocated. Two linearizations of the model are given ‒ one heuristic
    and one exact. Numerical results from real-world machine-learning
    datasets are presented.
rv: