Investigations of the self organising tree map

The self-organising tree map (SOTM), which is a variation of the self-organising map, is studied for the purpose of unsupervised data clustering. This method is applied to segmentation of grey-scale digital images, and the properties of the map are illustrated by clustering of uniformly distributed two-dimensional squares.