Package edu.udo.cs.yale.tools.math.som

Provides class for SOM (Self Organizing Map, Kohonen Net) calculation.

See:
Description

Interface Summary

AdaptionFunction	This interface provides the methods for adapting nodes to an input.
DistanceFunction	This interface defines the methods of an distance measure class.
KohonenTrainingsData	This interface describes the training data for a Kohonen net.
ProgressListener	This listener will be notified each time a step in progress was performed.

Class Summary

EuclideanDistance	This class provides a distance measure, equivalent to the euclidian distance measure.
KohonenNet	This class can be used to train a Kohonen net.
KohonenNode	This class represents a node in a KohonenNet.
RandomDataContainer	The RandomDataContainer is an implementation of the KohonenTrainingsData interface, and therefor provides examples of data for a KohonenNet.
RitterAdaption	The RitterAdaption provides an implementation of the AdaptionFunction interface for calculation the adaption of a node to an input stimulus.

Package edu.udo.cs.yale.tools.math.som Description

Provides class for SOM (Self Organizing Map, Kohonen Net) calculation.