The role of the preprocessing and data coding is to present training data in a form that is most suitable for the use of the SOM. Thus, it is important to note that data records are discriminated by vector norms, and that SOM organization is based on data variances. Here one data field has little effect to the organization if the vector dimension or the data variances are big.