Abstract
The rapid development of computers has not only led to an enormous increase in computing power but also to cheap mass storage media. As a result, collecting large amounts of data has nowadays become a routine in science, production, business, and commerce. However, to access the information contained in the raw data, appropriate data analysis techniques are needed. The traditional approach in statistics is to generate hypotheses first and to test them afterwards: One starts by defining the question to be answered, then designs an appropriate experiment and collects the data, and finally analyzes the data against the background of the original goals. This process is more or less turned upside down when permanently collecting huge amounts of data, mostly without having a concrete hypothesis in mind. As a consequence, there is a high demand for exploratory
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