Abstract
We consider to the 3-dimensional topological Self-Organizing Maps and more higher order Maps origin from the 1-dimensional topological network (line) and 2-dimensional topological network (plane) which are well used from the former.
Since a compression ratio becomes low by 3-dimensional SOM as compared with 2-dimensional SOM, it may be able to leave more information on the original data.
Research of 3-dimensional SOM is not popular.
The main reasons are 1) The topology of a unit is various and 2) The general-purpose topology which can be used in common with many data sets is not established.
The data visualization technique of having been suitable for 3-dimensional SOM is proposed in this paper.
