| Some relevant programs have been developed about SVM analysis. Here there are. Research is not complete, so this information may change. | |||
Name |
Brief description |
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| An implementation of Support Vector Machine (SVM). C source code available. | |||
| An implementation of the multi-class Support Vector Machine (SVM). C source code available. | |||
| GPDT is a C++ software designed to train large-scale Support Vector Machines (SVMs) for binary classification in both scalar and distributed memory parallel environments. Source code available. | |||
| A java wrapper for SVMlight. Source code available. | |||
| Machine-learning library, written in C++ . Windows and Linux source code. | |||
| SVM implementation. An interesting java version to work with databases. | |||
| Library for SVM. It supports multi-class classification. Different interfaces for a lot of programming languages. | |||
| It has been specifically tailored for large-scale problems. | |||
| An R package with functions for fuzzy clustering, support vector machines, etc. | |||