Variations on Simple Competitive networks:
Adaptive Resonance Theory (ART)
The number of nodes at the output layer is variable. Hence the number of clusters formed is flexible and depends on the input data.
Kohonen Self-Organizing Maps (SOM)
While in simple competitive networks only the winner learns, in SOM's learning occurs at nodes that are in a neighborhood of the winner.
Back to the usages of neural networks.