Learning Medical Diagnosis via Scaled Convex Hull Based SK Algorithm

Machine learning algorithms, especially support vector machines (SVMs), were from the very beginning designed and used to analyze medical datasets. As a geometric dual representation of SVMs, Schlesinger-Kozinec (SK) algorithm achieves classification by solving the nearest point pair between convex