KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results

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.

• Type: Conference
• Year: 2004
• Where: GFKL
• Authors: Nils Raabe, Karsten Luebke, Claus Weihs
• Keywords: GFKL 2004, Kohonen SOM, Simultaneous Methods, first Stage