Shape-restricted support vector machine (SR-SVM): a SVM classifier taking supplementary shape information of input

• Published in: Journal of intelligent & fuzzy systems Vol. 40; no. 1; pp. 1481 - 1494
• Main Authors: Deng, Geng, Xie, Yaoguo, Wang, Xindong, Fu, Qiang
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2021; Sage Publications Ltd
• Subjects: Algorithms; Basis functions; Classification; Classifiers; Computational geometry; Convexity; Hyperplanes; Optimization; Support vector machines

Many classification problems contain shape information from input features, such as monotonic, convex, and concave. In this research, we propose a new classifier, called Shape-Restricted Support Vector Machine (SR-SVM), which takes the component-wise shape information to enhance classification accur...