Title of article :
A Combining Mathematical Programming Method For Multi-Group Data Classification
Author/Authors :
ÖRKCÜ, H. Hasan Gazi Üniversitesi - Arts and Science Faculty - Department of Statistics, TURKEY , BAL, Hasan Gazi Üniversitesi - Arts and Science Faculty - Department of Statistics, TURKEY
Abstract :
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.
Keywords :
Multi , group data classification problem , mathematical programming , multi , layer neural network.
Journal title :
Gazi University Journal Of Science
Journal title :
Gazi University Journal Of Science