Authors: Luebke, Karsten
Raabe, Nils
Weihs, Claus
Title: KMC/EDAM: A new approach for the visualization of K-Means Clustering results
Language (ISO): en
Abstract: In 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.
URI: http://hdl.handle.net/2003/20079
http://dx.doi.org/10.17877/DE290R-5317
Issue Date: 2004
Publisher: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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