Support Vector Machines (SVM)

Support Vector Machines (SVM):

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Support Vector Machines (SVM)

• Introductory Overview
• Technical Notes
• Classification SVM
• Regression SVM
• Kernel Functions

Support Vector Machines (SVM) Introductory Overview

Support Vector Machines are based on the concept of decision planes that define decision boundaries. A decision plane is one that separates between a set of objects having different class memberships. A schematic example is shown in the illustration below. In this example, the objects belong either to class GREEN or RED. The separating line defines a boundary on the right side of which all objects are GREEN and to the left of which all objects are RED. Any new object (white circle) falling to the right is labeled, i.e., classified, as GREEN (or classified as RED should it fall to the left of the separating line).