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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)