A non-linear optimization based robust attribute weighting model for the two-class classification problems.

ABSTRACT:

Background

This article aims to determine the coefficients that will reduce the in-class distance and increase the distance between the classes, collecting the data around the cluster centers with meta-heuristic optimization algorithms, thus increasing the classification performance.

Methods

The proposed mathematical model is based on simple mathematical calculations, and this model is the fitness function of optimization algorithms. Compared to the methods in the literature, optimizing algorithms to obtain fast results is more accessible. Determining the weights by optimization provides more sensitive results than the dataset structure. In the study, the proposed model was used as the fitness function of the metaheuristic optimization algorithms to determine the weighting c

SUBMITTER: Alhudhaif A 

PROVIDER: S-EPMC10557515 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature