Introduction
This page contains links to overview information (including references to the literature) on the different types of learning schemes and tools included in Weka.
- Classifiers (covers supervised classification and regression)
- Clusterers (unsupervised learning)
- Associations
- Attribute Selection (evaluators and search methods)
- Preprocessing Filters (supervised and unsupervised data preprocessing)
- Information for packages that can be downloaded and installed via the package management system in Weka >= 3.7.2 can be found http://weka.sourceforge.net/packageMetaData/