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Arrhythmia Classification via k-Means based Polyhedral Conic Functions Algorithm
(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 ...
Max Margin Polyhedral Conic Function Classifier
(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 comprehensive insight into the Six Sigma DMAIC toolbox
(Emerald Group Publishing LTD, 2016)
Purpose - As opposed to general literature reviews, by narrowing down the context only around the resources related to Six Sigma tools, this study aims to offer a strong discussion about Six Sigma toolbox which has a vital ...
An incremental piecewise linear classifier based on polyhedral conic separation
(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 ...
Clustering Based Polyhedral Conic Functions Algorithm in Classification
(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 ...