One
of the most interesting aspects of Self-Organizing Feature Maps
(Kohonen maps) is that they learn to classify data without supervision.
In its basic form it produces a similarity map of input data
(clustering). The SOM maps can be used for classification and
visualizing of high-dimensional data. In this article we will consider
several simple applications of Kohonen maps.
New article Using Self-Organizing Feature Maps (Kohonen Maps) in MetaTrade 5 is published at mql5.com:
Author: MetaQuotes