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AI4R is a collection of ruby algorithms implementations, covering several
Artificial intelligence fields. It implements:
* Genetic algorithms
* Self-organized maps (SOM)
* Neural Networks
- Multilayer perceptron with Backpropagation learning
- Hopfield net
* Automatic classifiers (Machine Learning)
- ID3 (Decision Trees)
- PRISM (J. Cendrowska, 1987)
- Multilayer Perceptron
- OneR (AKA One Attribute Rule, 1R)
- ZeroR
- Hyperpipes
- Naive Bayes
- IB1 (D. Aha, D. Kibler - 1991)
* Data clustering
- K-means, Bisecting K-means
- Single linkage, Complete linkage, Average linkage, Weighted Average linkage,
Centroid linkage, Median linkage, Ward's method linkage
- Diana (Divisive Analysis)