Self Organising Maps
- The basic idea of a SOM is that you have a bunch of units
that represent the (typically Euclidean) space.
- Initially, the units are put down randomly.
- In response to training data they are moved so that they
represent the training data.
- It's an unsupervised sytstem.
- They're used for clustering, and thus commonly used for analysing
- If your training data is, say, the shape of an 8 in two dimensional
space, the nodes will move into an 8.