Yazar "Öztürk, Gürkan" için WoS İndeksli Yayınlar Koleksiyonu listeleme
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Arrhythmia Classification via k-Means based Polyhedral Conic Functions Algorithm
Çimen, Emre; Öztürk, Gürkan (IEEE, 2016)Heart disease is one of the important cause of death. In this study, we used ECG data obtained from MIT-BIH database to classify arrhythmias. We select 5 classes; normal beat (N), right bundle branch block (RBBB), left ... -
An Automated Multi-Objective Invigilator-Exam Assignment System
Öztürk, Zehra Kamışlı; Öztürk, Gürkan; Sağır, Müjgan (World Scientific Publ Co Pte LTD, 2010)This paper is concerned with the invigilator-exam assignment problem. A web-based Automated Invigilator Assignment System (AIAS), consists of a mathematical model; a database storing the information and web-based user ... -
Clustering Based Polyhedral Conic Functions Algorithm in Classification
Öztürk, Gürkan; Çiftçi, Mehmet Tahir (Amer Inst Mathematical Sciences-Aims, 2015)In this study, a new algorithm based on polyhedral conic functions (PCFs) is developed to solve multi-class supervised data classification problems. The k PCFs are constructed for each class in order to separate it from ... -
A comparison of competitive neural network with other al techniques in manufacturing cell formation
Öztürk, Gürkan; Öztürk, Zehra Kamışlı; Islıer, A. Attila (Springer-Verlag Berlin, 2006)The cell formation (CF) problem aims to transform the incidence matrix into block diagonal form. Numerous techniques are developed for this purpose ranging from mathematical programming to heuristic and AI techniques. In ... -
ICF: An algorithm for large scale classification with conic functions
Çimen, Emre; Öztürk, Gürkan; Gerek, Ömer Nezih (Elsevier Science BV, 2018)Incremental Conic Functions (ICF) algorithm is developed for solving classification problems based on mathematical programming. This algorithm improves previous version of conic function-based classifier construction in ... -
Incremental conic functions algorithm for large scale classification problems
Çimen, Emre; Öztürk, Gürkan; Gerek, Ömer Nezih (Academic Press Inc Elsevier Science, 2018)In order to cope with classification problems involving large datasets, we propose a new mathematical programming algorithm by extending the clustering based polyhedral conic functions approach. Despite the high classification ... -
An incremental piecewise linear classifier based on polyhedral conic separation
Öztürk, Gürkan; Bagirov, Adil M.; Kasımbeyli, Refail (Springer, 2015)In this paper, a piecewise linear classifier based on polyhedral conic separation is developed. This classifier builds nonlinear boundaries between classes using polyhedral conic functions. Since the number of polyhedral ... -
Max Margin Polyhedral Conic Function Classifier
Öztürk, Gürkan; Ceylan, Gurhan (IEEE, 2016)In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the ... -
A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
Bagirov, Adil M.; Ugon, Julien; Webb, Dean; Öztürk, Gürkan; Kasımbeyli, Refail (Springer, 2013)In this paper, an algorithm for finding piecewise linear boundaries between pattern classes is developed. This algorithm consists of two main stages. In the first stage, a polyhedral conic set is used to identify data ...