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Interactive Graphics Systems Group

By Jürgen Bernard, Tu Darmstadt, Tatiana Von L, Fraunhofer Igd Darmstadt, Tobias Schreck and Sebastian Bremm


The Self-Organizing Map (SOM) algorithm [4] is a popular and widely used cluster algorithm. Its constraint to organize clusters on a grid structure makes it very amenable to visualization. On the other hand, the grid constraint may lead to reduced cluster accuracy and reliability, compared to other clustering methods not implementing this restriction. We propose a visual cluster analysis system that allows to validate the output of the SOM algorithm by comparison with alternative clustering methods. Specifically, visual mappings overlaying alternative clustering results onto the SOM are proposed. We apply our system on an example data set, and outline main analytical use cases

Topics: Applications, I.3.6 [Computing Methodologies, Methodology and
Year: 2011
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