Let us firstly revisit completive learning and SOFM A node position (in the input space) is its weight vector, i.e. nodes move around in the same space as the data. Purpose of unsupervised learning is (usually) to cluster for classification, or for modelling d…

To learn from unlabeled data (only inputs, no target information). Most often for classification. Requires that class membership can be detected by structural properties (features) in the data, and that the learning system can be fund these features. Following…

A question, what is AI? Artificial Intelligence: It is not the art of making computers behave as they do in the movies. It is motivated by the brain, but do not overdo it. We always regard it as a black box. After opening this box, we can see a network of simp…