Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Self-Organizing Maps
Self-organizing map algorithm and distortion measure
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
TASOM: a new time adaptive self-organizing map
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The effect of concave and convex weight adjustments on self-organizing maps
IEEE Transactions on Neural Networks
Self-organizing feature maps with self-adjusting learning parameters
IEEE Transactions on Neural Networks
The parameterless self-organizing map algorithm
IEEE Transactions on Neural Networks
Rival-Model Penalized Self-Organizing Map
IEEE Transactions on Neural Networks
Explicit Magnification Control of Self-Organizing Maps for “Forbidden” Data
IEEE Transactions on Neural Networks
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A novel training algorithm is proposed for the formation of Self-Organizing Maps (SOM). In the proposed model, the weights are updated incrementally by using a higher-order difference equation, which implements a low-pass digital filter. It is possible to improve selected features of the self-organization process with respect to the basic SOM by suitably designing the filter. Moreover, from this model, new visualization tools can be derived for cluster visualization and for monitoring the quality of the map.