A review of support vector machines with respect to spatial data

• Main Authors: Kohram, Mojtaba, Md. Sap, Mohd. Noor
• Format: Conference or Workshop Item
• Published: 2007
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/25373/

A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples.