Mathematical Programming Approaches for the Classification Problem in Two-Group Discriminant Analysis.

By E. Joachimsthaler, Antonie Stam. 1990

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Supersparse linear integer models for optimized medical scoring systems (2015, methodology): “Seeing how early attempts at misclassification minimization were only feasible for tiny datasets with at most 200 examples (see e.g. Joachimsthaler and Stam, 1990), a large body of work has focused on improving scalability by using heuristics (Rubin, 1990, Yanev and Balev, 1999), decomposition…”
Multicriteria classification and sorting methods: A literature review (2002, background): “More comprehensive reviews are provided by Joachimsthaler and Stam (1990) and Stam (1997).”
Mathematical programming formulations for two-group classification with binary variables (1997, methodology): “For instance, it is well-documented that parametric statistical methods, such as Fisher’s linear discriminant function (LDF) [19] and Smith’s quadratic discriminant function (QDF) [63] may yield poor classification results if the assumption of multivariate normally distributed attributes is violated”
A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem by (2005, methodology): “A survey of MP discriminant methods is given by Joachimsthaler and Stam [31].”