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) WWW: http://www.ai4r.org/