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Neural Networks
Self Organising Maps
Projects high-dimensional data onto a grid while preserving which things are near which.
A grid of units competes for each input; the winner and its neighbours move toward it. Over many passes the grid arranges itself so that similar inputs land in neighbouring cells.
The result is a two-dimensional map you can actually look at, which makes it a useful exploratory tool for segmentation before committing to a clustering method.
Also in Neural Networks
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