Support vector machine algorithm for separable data using elementary geometry
Published in Zenodo (CERN European Organization for Nuclear Research) • Jan 12, 2023
Authors:
Ramakrishnan, Rahul O.
Abstract
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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!