Support Vector Machines(SVM) - rugbyprof/5443-Data-Mining GitHub Wiki

Support Vector Machines(SVM)

In machine learning, support vector machines(SVM's) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.

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.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.

Reference: http://www.statsoft.com/textbook/support-vector-machines