Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps

Author:

Pampalk Elias,Rauber Andreas,Merkl Dieter

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Kohonen, T.: Self-Organizing Maps. 3rd edn. Springer-Verlag, Berlin (2001)

2. Ultsch, A., Siemon, H.: Kohonen’s self-organizing feature maps for exploratory data analysis. In: Proc Int’l Neural Network Conference (INNC’90), Dordrecht, Netherlands, Kluwer (1990) 305–308

3. Vesanto, J., Alhoniemi, E.: Clustering of the Self-Organizing Map. IEEE Transactions on Neural Networks 11 (2000) 586–600

4. Himberg, J.: Enhancing the SOM based data visualization by linking different data projections. In: Proc Int’l Symp on Intelligent Data Engineering and Learning (IDEAL’98), Hong Kong (1998) 427–434

5. Kaski, S., Kohonen, T., Venna, J.: Tips for SOM processing and colorcoding of maps. In: Visual Explorations in Finance. Springer Verlag, Berlin, Germany (1998)

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