Author
Oerkcue, H H, Bal, H
Subject
Abundance, Classification, Computational efficiency, Computing time, Mathematical models, Mathematical programming
Type
Periodical
Language
Undetermined
Digital
Yes
Manuscript
No
Library
University of Washington
Library Asset ID
ISSN: 1303-9709
Record ID
cdi_proquest_miscellaneous_869836671
Library Location
Check availability & request options
Date
Gazi University Journal of Science, 1901-01, Vol.24 (1), p.77-84
Notes
In spite of the abundance of articles on mathematical programming models to the two-group classification problem, very few have addressed the multi-group classification problem using mathematical programming. This study presents a new multi-group data classification method based on mathematical programming. A new multi-group data classification model is proposed in this study that includes the strong properties of the mathematical programming models previously suggested for multi-group classification problems in the literature. The efficiency of proposed approach is tested on the well-known IRIS data set. The results on the IRIS data set show that our proposed method is usability and efficient on multi-group classification problems.
Sample Text
Gazi University Journal of Science, 1901-01, Vol.24 (1), p.77-84
