Data mining and knowledge discovery in medical applications using self-organizing maps

摘要

In the contribution the authors discuss the application of Self-Organizing Maps (SOMs) for data mining and knowledge discovery in medicine. Thereby, the usually assumed but not verified topology preservation is in the main focus. Extensions of the usual SOM are offered to obtain correct results. The authors give examples for applications such as visualization and clustering.