An SVM is a classifier function in a high-dimensional space that defines the decision boundary between two classes. The support vectors are the data points that define the ‘gutters’, or the boundary condition, on either side of the hyperplane, for each of the two classes. The SVM model is thus conceptually easy to understand.
