Luebke, KarstenRaabe, NilsWeihs, Claus2005-01-312005-01-312004http://hdl.handle.net/2003/2007910.17877/DE290R-5317In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through two stages. In the first stage the data is clustered by classical methods like K-means clustering. In the second stage the centroids of the obtained clusters are visualized in a fixed target space which is directly comparable to that of SOM.enUniversität Dortmund310report