Support vector machine algorithm for separable data using elementary geometry

A fast iterative support vector machine algorithm for linearly separable dataset. Makes use of elementary geometry; no quadratic programming has been employed. provides weight and bias that defines the optimum-hyperplane and also gives the support vectors. applicable only for linearly separable prob... View More