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Encoding of a lot of information in only few parameters allows measuring and comparing different woods productively. A corresponding proximity layout in two-dimensional space is done by self-organizing maps (SOM), made popular by Teuvo Kohonen (Kohonen 2001). SOMs do not produce binary classification such as whether a wood is hard or soft or whether it is from a deciduous or from a coniferous tree. All the cells in Fig. 10 are synthetic and comprise all of the training samples to a certain degree. Possible measurements are for instance What is half way between oak and maple? or What is the birchness of balsa?”

Fig. 10 Self-organizing map trained by 20 wood samples