A METHODOLOGICAL COMPARISON BETWEEN STANDARD AND TWO STAGE MIXED INTEGER APPROACHES FOR DISCRIMINANT ANALYSIS

DOI10.1142/S0217595905000704zbMath1159.90465MaRDI QIDQ5716135

Toshiyuki Sueyoshi

Publication date: 9 January 2006

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

integer programming

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Unnamed Item
• DEA-discriminant analysis in the view of goal programming
• Simple but powerful goal programming models for discriminant problems
• Goal programming and multiple objective optimizations. Part I
• Arbitrary-norm separating plane
• Nontraditional approaches to statistical classification: Some perspectives on \(L_ p\)-norm methods
• Mixed integer programming approach of extended DEA--discriminant analysis.
• An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis
• DEA-discriminant analysis: methodological comparison among eight discriminant analysis approaches
• Optimal Estimation of Executive Compensation by Linear Programming
• Integer programming methods for normalisation and variable selection in mathematical programming discriminant analysis models
• Efficiency measurement and strategic classification of Japanese banking institutions
• Classification accuracy in discriminant analysis: a mixed integer programming approach
• Multisurface method of pattern separation
• Extended DEA-discriminant analysis
• A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms

This page was built for publication: A METHODOLOGICAL COMPARISON BETWEEN STANDARD AND TWO STAGE MIXED INTEGER APPROACHES FOR DISCRIMINANT ANALYSIS