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The following pages link to A new mathematical programming approach to multi-group classification problems (Q709116):

Displaying 16 items.

Developing a model for determining optimal \(\eta\) in DEA-discriminant analysis for predicting suppliers' group membership in supply chain (Q260503) (← links)
A group of knowledge-incorporated multiple criteria linear programming classifiers (Q544194) (← links)
Aggregating classifiers with mathematical programming (Q957061) (← links)
A formula for multiple classifiers in data mining based on Brandt semigroups (Q1014262) (← links)
A linear goal programming model for classification with non-monotone attributes (Q1260743) (← links)
Addressing the multigroup discriminant problem using multivariate statistics and mathematical programming (Q1296025) (← links)
Computational characteristics of a new mathematical programming model for the three-group discriminant problem (Q1373898) (← links)
Mathematical programming formulations for two-group classification with binary variables (Q1374280) (← links)
Pattern classification by linear goal programming and its extensions (Q1383924) (← links)
Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain (Q1652488) (← links)
Synergies between operations research and data mining: the emerging use of multi-objective approaches (Q1926877) (← links)
A mixed-integer programming approach to multi-class data classification problem (Q2497276) (← links)
Mathematical programming based heuristics for improving LP-generated classifiers for the multiclass supervised classification problem (Q2566054) (← links)
(Q3973397) (← links)
Evaluating the effect of gap size in a single function mathematical programming model for the three-group classification problem (Q4658478) (← links)
Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-group Classification Problem (Q4840365) (← links)