Support vector machines can be applied to classification, anomalies detection, and regression problems. Let's first dive into the support vector classifiers.
The first classifier to be evaluated is the binary (2-class) support vector classifier. The implementation uses the LIBSVM library created by Chih-Chung Chang and Chih-Jen Lin from the National Taiwan University [8:9].
The library was originally written in C before being ported to Java. It can be downloaded from http://www.csie.ntu.edu.tw/~cjlin/libsvm as a
tar.gzip file. The library includes the following classifier modes: