Twin Hyper-Ellipsoidal Support Vector Machine for Binary Classification

Twin Hyper-Ellipsoidal Support Vector Machine for Binary Classification

In this paper, a twin hyper-ellipsoidal support vector machine (TESVM) for binary classification of data is presented. Similar to twin support SVM(TWSVM) and twin hypersphere SVM (THSVM), as in the literature, our proposed method finds two hyper-ellipsoidals by solving two related SVM-type quadratic...

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Bibliographic Details
Main Authors: Zeinab Ebrahimpour, Wanggen Wan, Arash Sioofy Khoojine, Li Hou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Hyper-ellipsoidal region
Mahalanobis distance
orientation information
support vector machine (SVM)
twin hypersphere SVM (THSVM)
twin Mahalanobis distance-based SVM (TMSVM)
Online Access:https://ieeexplore.ieee.org/document/9078674/

Internet

https://ieeexplore.ieee.org/document/9078674/

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