Steering clustering of medical data in a Self-Enforcing Network (SEN) with a cue validity factor

A Self-Enforcing Network (SEN), which is a self-organized neural network, is introduced to cluster medical data. In addition, a cue validity factor is defined, which affects the clustering of the data. The results show that a user can influence the clustering of data by SEN, thus allowing the analysis of the data depending on economical, medical or nursing interests. The described prototype includes concrete examples and shows the potential of such a network for the analysis of complex data.