Article ID: | iaor19972535 |
Country: | United Kingdom |
Volume: | 24 |
Issue: | 42 |
Start Page Number: | 179 |
End Page Number: | 191 |
Publication Date: | Feb 1997 |
Journal: | Computers and Operations Research |
Authors: | Loucopoulos Constantine |
Keywords: | statistics: general |
A new mathematical programming model for the three-group classification problem is presented. This model is shown to be computationally more efficient than the General Single Function Classification model for a variety of data configurations. Theoretical characteristics of the classificatory performance of the two models are also investigated.