Objective: simply put: The purpose of the technique is to represent the model with a lower number of dimensions, while maintaining the relations of similarity of the nodes contained in it.
- Create topologically ordered maps
- representing sensory input signals.
- Approximates the probability density function of the input space while preserving its topological structure.