SVM( Support Vector Machine) is the Reference for Lecture 7: Discriminant Analysis.

- Example 1. Riding Mower Data  with Two Clusters

- Example 2. Iris Flowers Data  with Three Clusters

- SVM was developed by Cortes and Vannik(1995) for binary classification.

- SVM is a powerful technique for general(nonlinear) data classification that separates data using hyperplanes. Moreover it is especially useful for data whose distribution is unknown (also known as non-regularity in data).