• Corpus ID: 202625814

A new approach based on regression analysis and mathematical programming to multi-group classification problems

@inproceedings{Dogan2019ANA,
  title={A new approach based on regression analysis and mathematical programming to multi-group classification problems},
  author={Mustafa Isa Dogan and Abdullah Orman and Mediha {\"O}rkc{\"u} and H. Hasan {\"O}rkc{\"u}},
  year={2019}
}
Highlights: Graphical/Tabular Abstract  A new approach for the multi group classification problems  Using the regression analysis for the obtaining the classification scores  Using the mathematical programming for the classifying of the units Classification is the problem of identifying to which of a set of categories a new observation belongs, on the basis of a training set of data containing observations whose category membership is known. In this study, for solving multi-group… 
Three Group Classification Problem Approach Based on Fuzzy Goal Programming
TLDR
A new fuzzy logic and mathematical programming based model was proposed to solve three-group classification problem and displayed better performance when compared to Fisher's Linear Discriminant Function and some mathematical programming-based models.

References

SHOWING 1-10 OF 61 REFERENCES
A new mathematical programming approach to multi-group classification problems
Performance Analysis of Classification Methods and Alternative Linear Programming Integrated with Fuzzy Delphi Feature Selection
TLDR
This study evaluates multi-group discriminant linear programming (MDLP) for classification problems against well-known methods such as neural networks, support vector machine, and so on and shows that the performance of MDLP is better than other methods with respect to correct classification, at least for small and medium-sized datasets.
An Alternative Model to Fisher and LinearProgramming Approaches in Two-Group Classification Problem: Minimizing Deviations from the Group Median (Review)
In this study, new classification models were developed which can be used in the solution to the problems of Discriminant Analysis having two groups. For the solution of these type of problems, Lam,
Improved Linear Programming Formulations for the Multi-group Discriminant Problem
TLDR
A new linear programming model is developed which simultaneously determines the cut-off values for the different classification functions and aggregates information contained in the multi-group problem which, intuitively, should provide better estimates of the group boundaries.
Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-group Classification Problem
Several mixed integer programming approaches to the multiple-group statistical classification problem are examined. Many papers have investigated conditions under which a degenerate solution occurs
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