A MIXED INTEGER PROGRAMMING MODEL FOR MULTIPLE-CLASS DISCRIMINANT ANALYSIS

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of mathematical programming (90C90) Mixed integer programming (90C11)

Related Items (3)

The geodesic classification problem on graphs ⋮ An integer programming approach for the 2-class single-group classification problem ⋮ Optimization approaches to supervised classification

Uses Software

CRIO
BMDP

Cites Work

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A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem
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Simple but powerful goal programming models for discriminant problems
Addressing the multigroup discriminant problem using multivariate statistics and mathematical programming
Computational characteristics of a new mathematical programming model for the three-group discriminant problem
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Dimensionality representation of linear discriminant function space for the multiple-group problem: An MIP approach
Hybrid misclassification minimization
A mixed-integer programming approach to multi-class data classification problem
Improper linear discriminant classifiers
Integer programming methods for normalisation and variable selection in mathematical programming discriminant analysis models
Classification and Regression via Integer Optimization
Multigroup Discriminant Analysis Using Linear Programming
Classification accuracy in discriminant analysis: a mixed integer programming approach
Evaluating the effect of gap size in a single function mathematical programming model for the three-group classification problem
Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-group Classification Problem
A comparison of the classical and the linear programming approaches to the classification problem in discriminant analysis

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